diff --git a/.docker/Dockerfile b/.docker/Dockerfile new file mode 100644 index 0000000..d6c7075 --- /dev/null +++ b/.docker/Dockerfile @@ -0,0 +1,11 @@ +FROM docker.io/jupyter/base-notebook:lab-4.0.5 + +COPY requirements.txt . + +# Install Python deps, the user approach is documented here: +# https://pythonspeed.com/articles/multi-stage-docker-python/ +RUN pip install --user --no-cache-dir -r requirements.txt + +COPY --chown=jovyan:users . ${HOME}/work + + diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..a4b83e2 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,5 @@ +.github +.git +.docker +.dockerignore +*.Rmd diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml new file mode 100644 index 0000000..207016d --- /dev/null +++ b/.github/workflows/docker.yml @@ -0,0 +1,42 @@ +name: Publish Docker image + +on: + workflow_dispatch: + push: + branches: + - stable + tags: + - v* + +jobs: + + push_to_registry: + name: Push Docker image to Docker Hub + runs-on: ubuntu-latest + steps: + - name: Check out the repo + uses: actions/checkout@v3 + + - name: Log in to Docker Hub + uses: docker/login-action@v2 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Extract metadata (tags, labels) for Docker + id: meta + uses: docker/metadata-action@v4 + with: + images: jetaylor74/islp_labs + tags: | + type=ref,event=branch + type=semver,pattern={{raw}} + + - name: Build and push Docker image + uses: docker/build-push-action@v4 + with: + context: . + file: .docker/Dockerfile + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} diff --git a/Ch02-statlearn-lab.Rmd b/Ch02-statlearn-lab.Rmd index 556bbbf..65fb279 100644 --- a/Ch02-statlearn-lab.Rmd +++ b/Ch02-statlearn-lab.Rmd @@ -2,8 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd - main_language: python + formats: Rmd,ipynb text_representation: extension: .Rmd format_name: rmarkdown diff --git a/Ch02-statlearn-lab.ipynb b/Ch02-statlearn-lab.ipynb index 2cc3313..1ad4eec 100644 --- a/Ch02-statlearn-lab.ipynb +++ b/Ch02-statlearn-lab.ipynb @@ -1107,16 +1107,16 @@ { "data": { "text/plain": [ - "array([-0.97992307, 0.29561095, 0.60481929, -0.20482365, -1.01517527,\n", - " 2.76594674, -0.65748447, 1.27396181, -1.01573869, 1.37373688,\n", - " 0.93524901, -2.41971622, -0.58080017, 0.13777341, 1.35936356,\n", - " 0.61747629, 0.82550921, 0.7943598 , 1.0905082 , 1.80820045,\n", - " -1.31320321, 2.0651966 , -0.78632522, -2.01068042, -1.36562571,\n", - " 1.43466837, -0.16848093, -1.57211786, 0.49888498, -1.86050966,\n", - " 1.08743609, 0.53059599, 0.02172848, -0.41808062, 1.88343414,\n", - " 0.09112977, 1.23489568, 0.53207714, -1.62670383, 1.29859234,\n", - " 0.30311344, 1.01143392, -1.64596169, 1.58876421, -1.85189683,\n", - " -0.53929878, -2.19895144, -0.36691225, 1.03621761, 0.25278481])" + "array([ 0.37697843, -0.1714562 , -0.07387699, 0.88289542, 0.42403407,\n", + " -1.25834631, -0.56281024, 0.96180301, -0.81464709, -0.18611985,\n", + " 1.55473926, 0.90549152, -1.36748952, -0.04172983, 1.33669081,\n", + " 0.4353957 , 1.14591958, 0.0858525 , 0.72945623, -0.57270057,\n", + " 1.30960282, 0.10564808, 0.32318427, 0.73300473, -1.16608308,\n", + " -1.76114586, 0.69877186, -0.30159982, -1.16892964, 0.49920879,\n", + " -0.04008576, 0.99724065, 0.41002051, 0.83231347, -0.42308487,\n", + " -2.17126985, 1.84862662, 0.40182298, -0.03440717, 0.05143581,\n", + " 2.01972242, -0.41715298, -1.02696106, 0.80886424, 0.93826288,\n", + " -1.08741113, -1.0994228 , 0.39633369, 0.29890158, -0.51821285])" ] }, "execution_count": 28, @@ -1170,8 +1170,8 @@ { "data": { "text/plain": [ - "array([[1. , 0.66045794],\n", - " [0.66045794, 1. ]])" + "array([[1. , 0.65421904],\n", + " [0.65421904, 1. ]])" ] }, "execution_count": 30, @@ -1207,8 +1207,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "[-9.63514647 -0.12742473]\n", - "[0.85490033 0.05488893]\n" + "[-5.49291495 2.33352471]\n", + "[8.45050027 0.00908238]\n" ] } ], @@ -1677,7 +1677,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 43, @@ -7708,9 +7708,14 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, "language_info": { "codemirror_mode": { "name": "ipython", @@ -7721,7 +7726,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch03-linreg-lab.Rmd b/Ch03-linreg-lab.Rmd index 930176c..afb1570 100644 --- a/Ch03-linreg-lab.Rmd +++ b/Ch03-linreg-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch03-linreg-lab.ipynb b/Ch03-linreg-lab.ipynb index e807e92..4d38fa6 100644 --- a/Ch03-linreg-lab.ipynb +++ b/Ch03-linreg-lab.ipynb @@ -252,7 +252,6 @@ " '__ge__',\n", " '__getattribute__',\n", " '__getitem__',\n", - " '__getstate__',\n", " '__gt__',\n", " '__hash__',\n", " '__iadd__',\n", @@ -930,10 +929,10 @@ " Method: Least Squares F-statistic: 601.6\n", "\n", "\n", - " Date: Sun, 20 Aug 2023 Prob (F-statistic): 5.08e-88\n", + " Date: Mon, 21 Aug 2023 Prob (F-statistic): 5.08e-88\n", "\n", "\n", - " Time: 19:28:54 Log-Likelihood: -1641.5\n", + " Time: 23:59:30 Log-Likelihood: -1641.5\n", "\n", "\n", " No. Observations: 506 AIC: 3287.\n", @@ -981,8 +980,8 @@ "\\textbf{Dep. Variable:} & medv & \\textbf{ R-squared: } & 0.544 \\\\\n", "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.543 \\\\\n", "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 601.6 \\\\\n", - "\\textbf{Date:} & Sun, 20 Aug 2023 & \\textbf{ Prob (F-statistic):} & 5.08e-88 \\\\\n", - "\\textbf{Time:} & 19:28:54 & \\textbf{ Log-Likelihood: } & -1641.5 \\\\\n", + "\\textbf{Date:} & Mon, 21 Aug 2023 & \\textbf{ Prob (F-statistic):} & 5.08e-88 \\\\\n", + "\\textbf{Time:} & 23:59:30 & \\textbf{ Log-Likelihood: } & -1641.5 \\\\\n", "\\textbf{No. Observations:} & 506 & \\textbf{ AIC: } & 3287. \\\\\n", "\\textbf{Df Residuals:} & 504 & \\textbf{ BIC: } & 3295. \\\\\n", "\\textbf{Df Model:} & 1 & \\textbf{ } & \\\\\n", @@ -1017,8 +1016,8 @@ "Dep. Variable: medv R-squared: 0.544\n", "Model: OLS Adj. R-squared: 0.543\n", "Method: Least Squares F-statistic: 601.6\n", - "Date: Sun, 20 Aug 2023 Prob (F-statistic): 5.08e-88\n", - "Time: 19:28:54 Log-Likelihood: -1641.5\n", + "Date: Mon, 21 Aug 2023 Prob (F-statistic): 5.08e-88\n", + "Time: 23:59:30 Log-Likelihood: -1641.5\n", "No. Observations: 506 AIC: 3287.\n", "Df Residuals: 504 BIC: 3295.\n", "Df Model: 1 \n", @@ -2496,7 +2495,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 34, @@ -2787,7 +2786,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -2800,7 +2799,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch04-classification-lab.Rmd b/Ch04-classification-lab.Rmd index d3d8eec..de81f30 100644 --- a/Ch04-classification-lab.Rmd +++ b/Ch04-classification-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch04-classification-lab.ipynb b/Ch04-classification-lab.ipynb index 6305667..a4d5e34 100644 --- a/Ch04-classification-lab.ipynb +++ b/Ch04-classification-lab.ipynb @@ -4543,7 +4543,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_80940/3779905754.py:8: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + "/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_84444/3779905754.py:8: UserWarning: FixedFormatter should only be used together with FixedLocator\n", " ax_hr.set_xticklabels(range(24)[::2], fontsize=20)\n" ] }, @@ -4636,7 +4636,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -4649,7 +4649,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch05-resample-lab.Rmd b/Ch05-resample-lab.Rmd index 34e2d1d..1733c87 100644 --- a/Ch05-resample-lab.Rmd +++ b/Ch05-resample-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch05-resample-lab.ipynb b/Ch05-resample-lab.ipynb index 8749b41..4edfa41 100644 --- a/Ch05-resample-lab.ipynb +++ b/Ch05-resample-lab.ipynb @@ -1149,7 +1149,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -1162,7 +1162,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch06-varselect-lab.Rmd b/Ch06-varselect-lab.Rmd index 9396072..4979e46 100644 --- a/Ch06-varselect-lab.Rmd +++ b/Ch06-varselect-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch06-varselect-lab.ipynb b/Ch06-varselect-lab.ipynb index bd20ce2..4bf0246 100644 --- a/Ch06-varselect-lab.ipynb +++ b/Ch06-varselect-lab.ipynb @@ -63,11 +63,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: l0bnb in /Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages (1.0.0)\r\n", - "Requirement already satisfied: numpy>=1.18.1 in /Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages (from l0bnb) (1.24.2)\r\n", - "Requirement already satisfied: scipy>=1.4.1 in /Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages (from l0bnb) (1.11.1)\r\n", - "Requirement already satisfied: numba>=0.53.1 in /Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages (from l0bnb) (0.57.1)\r\n", - "Requirement already satisfied: llvmlite<0.41,>=0.40.0dev0 in /Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages (from numba>=0.53.1->l0bnb) (0.40.1)\r\n" + "Requirement already satisfied: l0bnb in /Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages (1.0.0)\r\n", + "Requirement already satisfied: numpy>=1.18.1 in /Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages (from l0bnb) (1.24.2)\r\n", + "Requirement already satisfied: scipy>=1.4.1 in /Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages (from l0bnb) (1.11.1)\r\n", + "Requirement already satisfied: numba>=0.53.1 in /Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages (from l0bnb) (0.57.1)\r\n", + "Requirement already satisfied: llvmlite<0.41,>=0.40.0dev0 in /Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages (from numba>=0.53.1->l0bnb) (0.40.1)\r\n" ] } ], @@ -879,405 +879,405 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64428165.36474803, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64428165.36474803, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64428069.135193564, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64428069.135193564, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427947.709570706, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427947.709570706, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427794.49147929, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427794.49147929, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427601.15801401, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427601.15801401, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427357.208145335, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427357.208145335, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427049.39312406, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64427049.39312406, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64426660.99818401, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64426660.99818401, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64426170.936871, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64426170.936871, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64425552.60935727, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64425552.60935727, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64424772.46361481, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64424772.46361481, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64423788.18271286, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64423788.18271286, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64422546.402046196, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64422546.402046196, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64420979.836119056, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64420979.836119056, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64419003.66458898, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64419003.66458898, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64416510.99045885, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64416510.99045885, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64413367.138336174, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64413367.138336174, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64409402.50628651, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64409402.50628651, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64404403.61988451, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64404403.61988451, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64398101.96098537, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64398101.96098537, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64390160.05690916, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64390160.05690916, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64380154.22050254, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64380154.22050254, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64367553.23368757, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64367553.23368757, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64351692.17811265, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64351692.17811265, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64331740.55708714, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64331740.55708714, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64306663.85815487, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64306663.85815487, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64275177.83204634, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64275177.83204634, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64235695.09903011, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64235695.09903011, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64186264.367964305, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64186264.367964305, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64124503.75014188, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64124503.75014188, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64047531.61120446, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 64047531.61120446, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63951901.41718618, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63951901.41718618, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63833551.374737374, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63833551.374737374, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63687785.48493876, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63687785.48493876, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63509309.685659595, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63509309.685659595, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63292354.02159835, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63292354.02159835, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63030916.89990266, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63030916.89990266, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62719166.29703928, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62719166.29703928, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62352019.354438685, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62352019.354438685, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61925889.875772476, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61925889.875772476, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61439539.89859062, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61439539.89859062, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 60894903.039219804, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 60894903.039219804, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 60297684.607476555, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 60297684.607476555, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 59657521.16598571, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 59657521.16598571, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 58987535.05051082, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 58987535.05051082, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 58303257.30893663, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 58303257.30893663, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 57621079.35589412, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 57621079.35589412, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56956552.362989165, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56956552.362989165, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56322906.14367991, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56322906.14367991, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 55730077.752803415, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 55730077.752803415, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 55184365.56435659, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 55184365.56435659, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 54688640.34364891, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 54688640.34364891, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 54242923.97107168, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 54242923.97107168, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 53845116.92275897, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 53845116.92275897, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 53491699.68250863, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 53491699.68250863, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 53178310.76477921, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 53178310.76477921, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52900177.09233121, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52900177.09233121, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52652419.277090184, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52652419.277090184, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52430270.98847021, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52430270.98847021, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52229246.49376922, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52229246.49376922, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52045276.251295805, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 52045276.251295805, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51874817.10761593, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51874817.10761593, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51714935.480955906, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51714935.480955906, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51563358.53546297, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51563358.53546297, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51418487.867063135, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51418487.867063135, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51279371.6204245, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51279371.6204245, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51145634.32609803, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51145634.32609803, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51017369.002990715, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 51017369.002990715, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50895002.06601913, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50895002.06601913, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50779146.50047491, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50779146.50047491, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50670461.07683641, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50670461.07683641, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50569532.273268215, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50569532.273268215, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50476790.981010474, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50476790.981010474, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50392468.80539254, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50392468.80539254, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50316590.69087247, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50316590.69087247, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50248994.15213543, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50248994.15213543, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50189362.60450393, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50189362.60450393, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50137261.69126286, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50137261.69126286, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50092171.83247456, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50092171.83247456, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50053515.0816231, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50053515.0816231, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50020677.61213055, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 50020677.61213055, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49993029.950182974, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49993029.950182974, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49969946.08142715, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49969946.08142715, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49950821.12032734, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49950821.12032734, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49935086.375795275, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49935086.375795275, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49922220.65542218, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49922220.65542218, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49911757.23721766, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49911757.23721766, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49903286.65921827, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49903286.65921827, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49896456.01861009, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49896456.01861009, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49890965.72520982, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49890965.72520982, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49886564.66025478, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49886564.66025478, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49883044.54819732, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49883044.54819732, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49880234.147845834, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49880234.147845834, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49877993.670362815, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49877993.670362815, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49876209.66553557, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49876209.66553557, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49874790.493499264, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49874790.493499264, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49873662.41408341, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49873662.41408341, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49872766.272819825, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49872766.272819825, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49872054.73300109, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49872054.73300109, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49871489.989638604, tolerance: 12885.7065737425\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 49871489.989638604, tolerance: 12885.7065737425\n", " model = cd_fast.enet_coordinate_descent_gram(\n" ] }, @@ -1918,7 +1918,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.446e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.446e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -2008,7 +2008,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.486e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.486e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -2062,7 +2062,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -2113,207 +2113,207 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.136e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.134e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.134e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.134e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.134e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.133e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.133e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.132e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.132e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.131e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.131e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.130e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.130e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.128e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.128e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.127e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.127e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.124e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.124e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.121e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.121e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.117e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.117e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.113e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.113e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.107e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.107e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.100e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.100e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.091e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.091e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.081e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.081e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.069e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.069e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.055e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.055e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.977e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.977e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.744e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.744e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.494e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.494e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.234e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.234e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.968e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.968e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.704e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.704e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.448e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.448e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.204e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.204e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.977e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.977e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.769e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.769e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.581e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.581e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.412e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.412e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.261e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.261e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.127e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.127e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.008e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.008e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.900e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.900e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.803e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.803e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.714e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.714e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.632e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.632e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.554e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.554e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.480e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.480e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.409e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.409e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.342e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.342e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.276e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.276e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.214e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.214e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.154e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.154e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.097e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.097e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.043e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.043e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.991e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.991e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.943e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.943e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.898e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.898e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.856e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.856e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.817e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.817e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.780e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.780e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.746e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.746e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.715e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.715e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.687e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.687e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.661e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.661e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.637e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.637e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.616e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.616e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.596e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.596e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.579e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.579e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.563e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.563e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.550e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.550e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.538e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.538e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.528e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.528e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.519e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.519e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.512e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.512e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.506e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.506e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.500e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.500e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.496e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.496e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.493e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.493e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.490e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.490e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.488e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.488e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.486e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.486e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.485e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.485e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.483e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.483e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.483e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.483e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.482e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.482e+06, tolerance: 2.272e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.248e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.248e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -2366,1007 +2366,1007 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.877e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.877e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.230e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.230e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.097e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.097e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.229e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.229e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.214e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.214e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.096e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.096e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.228e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.228e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.875e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.875e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.095e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.095e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.227e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.227e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.211e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.211e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.873e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.873e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.093e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.093e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.225e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.225e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.209e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.209e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.872e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.872e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.212e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.212e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.870e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.870e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.089e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.089e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.210e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.210e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.204e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.204e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.867e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.867e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.086e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.086e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.200e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.200e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.864e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.864e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.082e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.082e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.203e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.203e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.196e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.196e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.860e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.860e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.077e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.077e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.208e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.208e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.197e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.197e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.855e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.855e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.071e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.071e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.201e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.201e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.191e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.191e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.849e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.849e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.063e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.063e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.194e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.194e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.174e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.174e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.841e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.841e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.054e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.054e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.184e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.184e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.173e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.173e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.163e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.163e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.043e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.043e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.172e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.172e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.161e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.161e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.149e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.149e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.820e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.820e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.029e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.029e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.157e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.157e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.146e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.146e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.806e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.806e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.012e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.012e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.139e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.139e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.129e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.129e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.112e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.112e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.789e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.789e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.992e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.992e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.117e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.117e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.107e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.107e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.087e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.087e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.769e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.769e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.968e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.968e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.081e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.081e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.058e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.058e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.745e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.745e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.060e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.060e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.051e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.051e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.718e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.718e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.015e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.015e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.686e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.686e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.869e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.869e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.975e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.975e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.650e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.650e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.828e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.828e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.938e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.938e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.929e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.929e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.611e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.611e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.783e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.783e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.568e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.568e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.734e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.734e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.834e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.834e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.826e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.826e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.772e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.772e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.524e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.524e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.684e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.684e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.778e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.778e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.770e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.770e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.710e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.710e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.478e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.478e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.633e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.633e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.721e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.721e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.713e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.713e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.646e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.646e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.663e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.663e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.655e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.655e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.388e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.388e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.533e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.533e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.607e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.607e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.599e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.599e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.520e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.520e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.345e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.345e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.486e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.486e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.554e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.554e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.545e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.545e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.460e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.460e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.443e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.443e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.504e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.504e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.494e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.494e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.404e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.404e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.268e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.268e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.403e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.403e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.457e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.457e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.447e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.447e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.352e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.352e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.415e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.415e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.405e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.405e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.333e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.333e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.377e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.377e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.262e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.262e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.177e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.177e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.304e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.304e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.343e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.343e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.331e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.331e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.224e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.224e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.154e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.154e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.278e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.278e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.312e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.312e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.300e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.300e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.133e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.133e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.255e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.255e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.284e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.284e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.272e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.272e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.159e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.159e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.260e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.260e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.247e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.247e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.098e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.098e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.215e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.215e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.237e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.237e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.225e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.225e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.109e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.109e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.083e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.083e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.088e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.088e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.070e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.070e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.182e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.182e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.186e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.186e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.069e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.069e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.058e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.058e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.167e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.167e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.181e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.181e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.169e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.169e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.165e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.165e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.139e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.139e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.149e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.149e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.138e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.138e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.027e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.027e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.126e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.126e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.124e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.124e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.012e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.012e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.017e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.017e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.121e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.121e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.110e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.110e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.102e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.102e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.108e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.108e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.097e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.097e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.982e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.982e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.090e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.090e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.095e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.095e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.804e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.804e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.894e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.894e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.078e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.078e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.071e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.071e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.713e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.713e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.808e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.808e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.067e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.067e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.073e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.073e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.060e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.060e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.627e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.627e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.727e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.727e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.057e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.057e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.062e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.062e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.048e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.048e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.548e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.548e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.650e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.650e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.579e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.579e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.045e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.045e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.406e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.406e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.514e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.514e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.343e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.343e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.454e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.454e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.030e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.030e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.286e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.286e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.402e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.402e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.003e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.003e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.234e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.234e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.355e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.355e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.969e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.969e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.187e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.187e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.314e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.314e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.966e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.966e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.014e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.014e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.914e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.914e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.145e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.145e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.279e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.279e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.010e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.010e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.865e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.865e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.249e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.249e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.843e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.843e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.824e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.824e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.075e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.075e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.223e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.223e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.047e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.047e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.202e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.202e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.743e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.743e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.761e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.761e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.022e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.022e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.184e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.184e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.700e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.700e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.990e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.990e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.737e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.737e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.000e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.000e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.169e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.169e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.663e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.663e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.971e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.971e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.717e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.717e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.982e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.982e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.156e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.156e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.630e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.630e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.956e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.956e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.701e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.701e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.966e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.966e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.146e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.146e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.601e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.601e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.943e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.943e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.688e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.688e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.953e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.953e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.138e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.138e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.575e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.575e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.933e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.933e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.677e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.677e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.942e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.942e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.132e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.132e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.554e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.554e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.924e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.924e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.668e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.668e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.933e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.933e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.126e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.126e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.535e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.535e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.917e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.917e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.661e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.661e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.926e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.926e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.122e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.122e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.520e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.520e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.911e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.911e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.655e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.655e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.920e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.920e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.119e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.119e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.507e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.507e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.906e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.906e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.651e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.651e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.915e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.915e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.116e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.116e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.496e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.496e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.647e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.647e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.911e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.911e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.114e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.114e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.487e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.487e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.899e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.899e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.644e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.644e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.907e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.907e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.112e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.112e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.480e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.480e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.897e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.897e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.642e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.642e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.905e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.905e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.111e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.111e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.895e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.895e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.640e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.640e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.903e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.903e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.110e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.110e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.469e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.469e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.893e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.893e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.639e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.639e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.901e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.901e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.109e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.109e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.465e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.465e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.892e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.892e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.638e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.638e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.900e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.900e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.462e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.462e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.891e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.891e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.637e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.637e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.899e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.899e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.460e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.460e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.898e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.898e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.458e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.458e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.456e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.456e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.889e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.889e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.635e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.635e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.271e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.271e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -3457,1007 +3457,1007 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.101e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.233e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.100e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.222e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.879e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.232e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.099e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.221e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.878e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.231e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.877e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.877e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.098e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.230e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.230e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.097e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.097e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.229e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.229e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.214e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.214e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.876e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.096e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.096e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.228e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.228e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.218e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.875e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.875e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.095e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.095e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.227e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.227e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.216e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.211e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.211e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.873e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.873e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.093e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.093e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.225e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.225e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.215e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.209e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.209e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.872e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.872e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.223e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.212e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.212e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.870e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.870e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.089e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.089e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.220e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.210e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.210e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.204e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.204e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.867e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.867e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.086e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.086e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.207e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.200e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.200e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.864e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.864e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.082e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.082e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.203e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.203e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.196e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.196e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.860e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.860e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.077e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.077e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.208e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.208e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.197e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.197e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.855e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.855e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.071e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.071e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.201e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.201e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.191e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.191e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.849e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.849e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.063e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.063e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.194e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.194e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.183e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.174e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.174e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.841e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.841e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.054e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.054e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.184e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.184e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.173e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.173e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.163e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.163e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.043e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.043e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.172e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.172e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.161e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.161e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.149e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.149e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.820e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.820e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.029e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.029e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.157e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.157e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.146e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.146e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.806e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.806e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.012e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.012e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.139e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.139e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.129e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.129e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.112e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.112e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.789e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.789e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.992e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.992e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.117e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.117e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.107e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.107e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.087e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.087e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.769e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.769e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.968e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.968e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.081e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.081e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.058e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.058e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.745e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.745e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.060e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.060e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.051e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.051e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.718e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.718e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.015e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.015e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.686e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.686e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.869e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.869e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.984e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.975e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.975e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.939e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.650e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.650e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.828e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.828e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.938e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.938e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.929e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.929e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.611e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.611e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.783e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.783e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.888e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.880e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.832e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.568e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.568e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.734e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.734e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.834e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.834e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.826e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.826e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.772e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.772e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.524e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.524e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.684e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.684e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.778e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.778e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.770e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.770e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.710e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.710e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.478e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.478e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.633e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.633e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.721e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.721e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.713e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.713e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.646e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.646e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.663e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.663e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.655e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.655e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.582e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.388e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.388e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.533e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.533e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.607e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.607e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.599e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.599e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.520e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.520e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.345e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.345e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.486e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.486e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.554e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.554e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.545e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.545e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.460e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.460e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.443e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.443e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.504e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.504e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.494e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.494e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.404e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.404e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.268e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.268e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.403e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.403e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.457e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.457e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.447e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.447e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.352e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.352e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.415e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.415e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.405e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.405e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.305e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.333e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.333e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.377e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.377e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.366e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.262e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.262e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.177e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.177e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.304e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.304e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.343e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.343e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.331e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.331e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.224e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.224e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.154e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.154e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.278e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.278e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.312e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.312e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.300e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.300e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.190e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.133e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.133e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.255e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.255e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.284e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.284e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.272e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.272e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.159e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.159e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.234e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.260e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.260e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.247e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.247e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.132e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.098e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.098e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.215e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.215e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.237e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.237e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.225e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.225e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.109e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.109e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.083e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.083e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.217e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.204e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.088e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.088e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.070e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.070e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.182e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.182e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.198e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.186e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.186e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.069e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.069e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.058e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.058e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.167e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.167e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.181e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.181e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.169e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.169e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.165e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.165e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.139e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.139e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.149e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.149e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.138e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.138e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.027e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.027e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.126e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.126e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.135e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.124e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.124e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.012e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.012e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.017e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.017e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.114e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.121e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.121e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.110e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.110e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.102e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.102e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.108e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.108e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.097e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.097e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.982e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.982e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.090e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.090e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.095e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.095e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.804e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.804e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.894e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.894e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.078e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.078e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.084e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.071e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.071e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.713e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.713e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.808e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.808e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.067e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.067e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.073e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.073e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.060e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.060e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.627e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.627e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.727e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.727e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.057e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.057e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.062e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.062e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.048e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.048e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.548e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.548e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.650e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.650e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.053e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.038e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.579e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.579e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.045e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.045e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.406e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.406e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.514e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.514e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.028e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.037e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.343e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.343e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.454e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.454e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.030e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.030e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.286e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.286e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.402e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.402e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.011e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.024e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.003e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.003e+07, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.234e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.234e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.355e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.355e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.019e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.969e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.969e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.187e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.187e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.314e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.314e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.966e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.966e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.014e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.014e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.914e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.914e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.145e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.145e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.279e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.279e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.010e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.010e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.865e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.865e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.249e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.249e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.843e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.843e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.007e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.824e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.824e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.075e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.075e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.223e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.223e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.004e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.790e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.047e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.047e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.202e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.202e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.743e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.743e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.001e+07, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.761e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.761e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.022e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.022e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.184e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.184e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.700e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.700e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.990e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.990e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.737e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.737e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.000e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.000e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.169e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.169e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.663e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.663e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.971e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.971e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.717e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.717e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.982e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.982e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.156e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.156e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.630e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.630e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.956e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.956e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.701e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.701e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.966e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.966e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.146e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.146e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.601e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.601e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.943e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.943e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.688e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.688e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.953e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.953e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.138e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.138e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.575e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.575e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.933e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.933e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.677e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.677e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.942e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.942e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.132e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.132e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.554e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.554e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.924e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.924e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.668e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.668e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.933e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.933e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.126e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.126e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.535e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.535e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.917e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.917e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.661e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.661e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.926e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.926e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.122e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.122e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.520e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.520e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.911e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.911e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.655e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.655e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.920e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.920e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.119e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.119e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.507e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.507e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.906e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.906e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.651e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.651e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.915e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.915e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.116e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.116e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.496e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.496e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.902e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.647e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.647e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.911e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.911e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.114e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.114e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.487e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.487e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.899e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.899e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.644e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.644e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.907e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.907e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.112e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.112e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.480e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.480e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.897e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.897e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.642e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.642e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.905e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.905e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.111e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.111e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.474e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.895e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.895e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.640e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.640e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.903e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.903e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.110e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.110e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.469e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.469e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.893e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.893e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.639e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.639e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.901e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.901e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.109e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.109e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.465e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.465e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.892e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.892e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.638e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.638e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.900e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.900e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.462e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.462e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.891e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.891e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.637e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.637e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.899e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.899e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.108e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.460e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.460e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.898e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.898e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.458e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.458e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.890e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.636e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.107e+06, tolerance: 3.759e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.456e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.456e+06, tolerance: 4.201e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.889e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.889e+06, tolerance: 4.466e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.635e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.635e+06, tolerance: 4.445e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.897e+06, tolerance: 4.437e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.271e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.271e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -4586,2007 +4586,2007 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795326.355502333, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795326.355502333, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795268.885511458, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795268.885511458, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795196.367825005, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795196.367825005, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795104.862821113, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18795104.862821113, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794989.399687696, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794989.399687696, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794843.706650957, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794843.706650957, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794659.87071198, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794659.87071198, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794427.908521358, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794427.908521358, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794135.22526347, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18794135.22526347, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18793765.932449568, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18793765.932449568, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18793299.98803079, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18793299.98803079, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18792712.112872534, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18792712.112872534, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18791970.425932087, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18791970.425932087, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18791034.72591697, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18791034.72591697, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18789854.32913581, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18789854.32913581, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18788365.350956466, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18788365.350956466, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18786487.290938053, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18786487.290938053, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18784118.748442672, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18784118.748442672, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18781132.05553399, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18781132.05553399, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18777366.566605024, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18777366.566605024, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18772620.289297033, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18772620.289297033, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18766639.479676694, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18766639.479676694, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18759105.758860495, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18759105.758860495, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18749620.243803147, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18749620.243803147, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18737684.132153213, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18737684.132153213, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18722675.157982755, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18722675.157982755, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18703819.37168406, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18703819.37168406, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18680157.84067929, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18680157.84067929, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18650508.189617783, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18650508.189617783, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18613421.503628485, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18613421.503628485, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18567136.14871325, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18567136.14871325, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18509531.699850053, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18509531.699850053, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18438088.608600505, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18438088.608600505, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18349862.649110064, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18349862.649110064, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18241487.557216965, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18241487.557216965, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18109224.25083878, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18109224.25083878, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17949079.523028806, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17949079.523028806, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17757018.994714484, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17757018.994714484, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17529294.98190815, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17529294.98190815, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17262895.457700975, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17262895.457700975, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16956091.882983487, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16956091.882983487, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16609021.736273043, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16609021.736273043, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16224194.650997939, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16224194.650997939, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15806778.142363884, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15806778.142363884, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15364525.127389485, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15364525.127389485, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14907268.75187378, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14907268.75187378, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14446023.624531085, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14446023.624531085, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13991857.160644894, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13991857.160644894, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13554773.727504015, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13554773.727504015, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13142847.182203237, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13142847.182203237, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12761747.456957739, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12761747.456957739, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12414679.232309299, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12414679.232309299, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12102642.724649917, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12102642.724649917, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11824874.692517474, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11824874.692517474, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11579334.50630629, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11579334.50630629, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11363143.416383019, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11363143.416383019, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11172936.696242273, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11172936.696242273, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11005127.92643167, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11005127.92643167, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10856105.032984463, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10856105.032984463, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10722381.625233045, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10722381.625233045, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10600721.735570516, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10600721.735570516, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10488247.552619573, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10488247.552619573, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10382531.68105097, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10382531.68105097, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10281669.161078632, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10281669.161078632, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10184320.545404715, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10184320.545404715, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10089716.55059902, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10089716.55059902, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9997617.850835908, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9997617.850835908, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9908230.155360885, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9908230.155360885, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9822083.085401118, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9822083.085401118, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9739888.930170696, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9739888.930170696, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9662401.666184625, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9662401.666184625, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9590296.226307327, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9590296.226307327, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9524082.854699288, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9524082.854699288, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9464062.902306747, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9464062.902306747, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9410323.196208755, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9410323.196208755, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9362759.024991764, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9362759.024991764, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9321112.753117379, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9321112.753117379, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9285016.290065145, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9285016.290065145, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9254029.627395952, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9254029.627395952, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9227672.214767914, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9227672.214767914, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9205447.27460862, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9205447.27460862, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9186860.578098293, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9186860.578098293, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9171435.130133288, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9171435.130133288, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9158722.527650403, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9158722.527650403, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9148311.191396464, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9148311.191396464, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9139831.50202173, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9139831.50202173, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9132958.012055235, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9132958.012055235, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9127409.145408802, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9127409.145408802, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9122944.972944392, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9122944.972944392, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9119363.705526328, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9119363.705526328, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9116497.490587894, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9116497.490587894, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9114207.980834428, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9114207.980834428, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9112382.008592516, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9112382.008592516, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9110927.575648237, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9110927.575648237, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9109770.269829819, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9109770.269829819, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9108850.148759764, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9108850.148759764, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9108119.08491204, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9108119.08491204, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9107538.538969103, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9107538.538969103, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9107077.714962065, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9107077.714962065, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9106712.046135923, tolerance: 3759.109166869193\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9106712.046135923, tolerance: 3759.109166869193\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005651.632865302, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005651.632865302, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005578.608102243, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005578.608102243, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005486.463074774, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005486.463074774, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005370.192059726, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005370.192059726, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005223.47917251, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005223.47917251, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005038.355660334, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21005038.355660334, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21004804.76767336, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21004804.76767336, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21004510.03120046, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21004510.03120046, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21004138.144828446, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21004138.144828446, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21003668.923421204, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21003668.923421204, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21003076.906345215, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21003076.906345215, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21002329.98203154, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21002329.98203154, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21001387.655909717, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21001387.655909717, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21000198.8704182, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21000198.8704182, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20998699.26312138, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20998699.26312138, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20996807.72107362, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20996807.72107362, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20994422.05552329, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20994422.05552329, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20991413.57989597, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20991413.57989597, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20987620.324921425, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20987620.324921425, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20982838.567338496, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20982838.567338496, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20976812.283196613, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20976812.283196613, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20969220.065253027, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20969220.065253027, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20959658.970863715, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20959658.970863715, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20947624.701018073, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20947624.701018073, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20932487.468798272, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20932487.468798272, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20913462.923603535, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20913462.923603535, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20889577.599545892, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20889577.599545892, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20859628.61984418, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20859628.61984418, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20822137.913488373, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20822137.913488373, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20775302.126054227, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20775302.126054227, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20716940.917180095, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20716940.917180095, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20644448.64953633, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20644448.64953633, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20554757.795455974, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20554757.795455974, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20444326.815649558, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20444326.815649558, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20309170.5956441, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20309170.5956441, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20144956.94257016, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20144956.94257016, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19947196.308887925, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19947196.308887925, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19711550.604615457, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19711550.604615457, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19434276.168588594, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19434276.168588594, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19112791.023677077, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19112791.023677077, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18746315.49762964, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18746315.49762964, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18336483.416578818, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18336483.416578818, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17887774.82963546, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17887774.82963546, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17407607.14883928, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17407607.14883928, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16905965.499829993, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16905965.499829993, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16394560.80209675, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16394560.80209675, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15885645.94315279, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15885645.94315279, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15390736.734407002, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15390736.734407002, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14919517.25785277, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14919517.25785277, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14479140.715843389, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14479140.715843389, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14074002.01810337, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14074002.01810337, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13705921.512677444, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13705921.512677444, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13374594.126102015, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13374594.126102015, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13078142.079861483, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13078142.079861483, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12813645.639316088, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12813645.639316088, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12577583.791150972, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12577583.791150972, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12366168.387483226, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12366168.387483226, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12175587.27845306, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12175587.27845306, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12002182.958268248, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12002182.958268248, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11842589.470659975, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11842589.470659975, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11693840.031875866, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11693840.031875866, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11553447.60800361, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11553447.60800361, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11419454.0438313, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11419454.0438313, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11290441.388440857, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11290441.388440857, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11165501.742342338, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11165501.742342338, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11044168.420816425, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11044168.420816425, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10926319.289729377, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10926319.289729377, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10812069.210340973, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10812069.210340973, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10701669.403435929, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10701669.403435929, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10595426.714498514, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10595426.714498514, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10493648.013477515, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10493648.013477515, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10396608.203056702, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10396608.203056702, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10304536.713966034, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10304536.713966034, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10217616.440012153, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10217616.440012153, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10135989.092876721, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10135989.092876721, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10059761.060749074, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10059761.060749074, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9989004.697692012, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9989004.697692012, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9923752.620593688, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9923752.620593688, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9863986.795334544, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9863986.795334544, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9809627.884194935, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9809627.884194935, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9760531.052715844, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9760531.052715844, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9716491.487344079, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9716491.487344079, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9677258.06531545, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9677258.06531545, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9642549.951165989, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9642549.951165989, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9612070.387835175, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9612070.387835175, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9585514.488134583, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9585514.488134583, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9562571.500908714, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9562571.500908714, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9542924.549681038, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9542924.549681038, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9526251.156759001, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9526251.156759001, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9512226.472533092, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9512226.472533092, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9500529.267319627, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9500529.267319627, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9490849.431706948, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9490849.431706948, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9482895.334901826, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9482895.334901826, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9476399.71781569, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9476399.71781569, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9471123.439398324, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9471123.439398324, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9466857.004635958, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9466857.004635958, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9463420.20844639, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9463420.20844639, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9460660.409301298, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9460660.409301298, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9458449.957484353, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9458449.957484353, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9456683.22035802, tolerance: 4201.186103419478\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9456683.22035802, tolerance: 4201.186103419478\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331946.25629055, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331946.25629055, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331864.018678214, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331864.018678214, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331760.248581372, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331760.248581372, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331629.308755428, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331629.308755428, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331464.086506005, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331464.086506005, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331255.607747704, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22331255.607747704, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22330992.550247405, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22330992.550247405, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22330660.62979839, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22330660.62979839, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22330241.82628314, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22330241.82628314, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22329713.40806704, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22329713.40806704, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22329046.702501133, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22329046.702501133, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22328205.546983715, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22328205.546983715, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22327144.338416774, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22327144.338416774, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22325805.578253012, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22325805.578253012, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22324116.784799173, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22324116.784799173, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22321986.613041975, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22321986.613041975, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22319299.9839329, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22319299.9839329, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22315911.97874348, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22315911.97874348, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22311640.198869713, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22311640.198869713, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22306255.226839963, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22306255.226839963, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22299468.750693016, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22299468.750693016, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22290918.833475478, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22290918.833475478, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22280151.72747749, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22280151.72747749, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22266599.559077755, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22266599.559077755, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22249553.162800502, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22249553.162800502, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22228129.35292585, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22228129.35292585, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22201232.036903117, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22201232.036903117, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22167506.872833706, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22167506.872833706, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22125289.76574775, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22125289.76574775, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22072550.542125095, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22072550.542125095, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22006834.845984127, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22006834.845984127, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21925209.906269174, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21925209.906269174, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21824223.56629905, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21824223.56629905, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21699890.94922881, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21699890.94922881, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21547729.124614064, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21547729.124614064, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21362866.213577304, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21362866.213577304, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21140255.446179498, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21140255.446179498, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20875023.13975618, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20875023.13975618, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20562967.32341789, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20562967.32341789, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20201195.56502676, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20201195.56502676, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19788844.32939185, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19788844.32939185, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19327763.89751004, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19327763.89751004, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18823001.04313301, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18823001.04313301, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18282896.08461045, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18282896.08461045, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17718660.4886989, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17718660.4886989, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17143422.40324079, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17143422.40324079, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16570887.230051238, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16570887.230051238, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16013892.090309372, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16013892.090309372, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15483171.861886727, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15483171.861886727, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14986579.129588084, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14986579.129588084, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14528848.289413737, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14528848.289413737, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14111836.239774454, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14111836.239774454, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13735069.935277399, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13735069.935277399, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13396407.639332836, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13396407.639332836, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13092660.916831579, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13092660.916831579, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12820093.900344713, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12820093.900344713, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12574781.90922219, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12574781.90922219, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12352853.175078167, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12352853.175078167, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12150651.369793259, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12150651.369793259, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11964850.854771722, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11964850.854771722, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11792543.263225015, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11792543.263225015, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11631302.416094316, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11631302.416094316, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11479227.7561279, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11479227.7561279, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11334963.041737791, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11334963.041737791, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11197685.003164051, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11197685.003164051, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11067056.224580359, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11067056.224580359, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10943139.511030385, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10943139.511030385, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10826278.220752902, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10826278.220752902, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10716956.341549171, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10716956.341549171, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10615659.18706467, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10615659.18706467, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10522756.819315987, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10522756.819315987, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10438426.844454892, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10438426.844454892, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10362623.27115231, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10362623.27115231, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10295087.38179537, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10295087.38179537, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10235388.466414705, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10235388.466414705, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10182978.74114095, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10182978.74114095, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10137247.95260475, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10137247.95260475, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10097567.748922419, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10097567.748922419, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10063321.789749103, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10063321.789749103, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10033922.656392608, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10033922.656392608, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10008819.486834103, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10008819.486834103, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9987500.645290056, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9987500.645290056, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9969494.453323793, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9969494.453323793, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9954369.32479691, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9954369.32479691, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9941733.515465437, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9941733.515465437, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9931234.335989065, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9931234.335989065, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9922556.777457738, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9922556.777457738, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9915421.679110043, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9915421.679110043, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9909583.627876062, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9909583.627876062, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9904828.718921196, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9904828.718921196, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9900972.216495434, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9900972.216495434, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9897856.106707212, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9897856.106707212, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9895346.540855931, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9895346.540855931, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9893331.203755055, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9893331.203755055, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9891716.674948297, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9891716.674948297, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9890425.865192825, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9890425.865192825, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9889395.604661888, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9889395.604661888, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9888574.440116646, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9888574.440116646, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9887920.674489552, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9887920.674489552, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9887400.660169175, tolerance: 4466.452064951529\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9887400.660169175, tolerance: 4466.452064951529\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22225193.80408011, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22225193.80408011, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22225110.813517075, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22225110.813517075, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22225006.093373984, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22225006.093373984, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224873.954836704, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224873.954836704, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224707.22016197, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224707.22016197, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224496.83322094, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224496.83322094, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224231.36831536, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22224231.36831536, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22223896.410779048, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22223896.410779048, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22223473.77603032, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22223473.77603032, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22222940.525154293, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22222940.525154293, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22222267.72434169, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22222267.72434169, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22221418.88207672, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22221418.88207672, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22220347.981225494, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22220347.981225494, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22218997.002387535, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22218997.002387535, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22217292.809172478, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22217292.809172478, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22215143.234477364, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22215143.234477364, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22212432.168317866, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22212432.168317866, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22209013.40126823, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22209013.40126823, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22204702.922219783, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22204702.922219783, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22199269.304569546, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22199269.304569546, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22192421.741654057, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22192421.741654057, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22183795.21258787, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22183795.21258787, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22172932.17909693, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22172932.17909693, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22159260.14304964, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22159260.14304964, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22142064.35203175, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22142064.35203175, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22120454.95809202, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22120454.95809202, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22093328.06334204, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22093328.06334204, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22059320.403233726, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22059320.403233726, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22016758.03845356, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22016758.03845356, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21963600.508906867, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21963600.508906867, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21897383.65478575, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21897383.65478575, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21815166.968429696, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21815166.968429696, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21713495.123522323, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21713495.123522323, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21588388.30984886, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21588388.30984886, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21435381.888817236, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21435381.888817236, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21249641.65996918, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21249641.65996918, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21026184.505123127, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21026184.505123127, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20760231.655652393, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20760231.655652393, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20447708.31167379, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20447708.31167379, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20085874.018901825, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20085874.018901825, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19674021.850113407, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19674021.850113407, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19214128.3053442, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19214128.3053442, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18711289.424232315, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18711289.424232315, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18173771.014405873, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18173771.014405873, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17612557.62934444, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17612557.62934444, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17040407.03219554, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17040407.03219554, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16470567.131662391, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16470567.131662391, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15915425.819018744, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15915425.819018744, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15385384.27148134, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15385384.27148134, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14888160.528800251, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14888160.528800251, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14428585.410549453, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14428585.410549453, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14008814.608291918, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14008814.608291918, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13628800.43657365, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13628800.43657365, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13286857.361730725, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13286857.361730725, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12980197.224087035, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12980197.224087035, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12705370.410345197, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12705370.410345197, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12458600.903357476, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12458600.903357476, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12236032.77957509, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12236032.77957509, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12033913.49389702, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12033913.49389702, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11848733.596731743, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11848733.596731743, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11677333.403468838, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11677333.403468838, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11516981.070353946, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11516981.070353946, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11365424.704670552, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11365424.704670552, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11220921.203073826, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11220921.203073826, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11082243.920528807, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11082243.920528807, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10948669.457422748, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10948669.457422748, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10819942.016223667, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10819942.016223667, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10696213.317397818, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10696213.317397818, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10577957.546131799, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10577957.546131799, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10465864.125929628, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10465864.125929628, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10360715.842557454, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10360715.842557454, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10263264.873279892, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10263264.873279892, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10174122.558233691, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10174122.558233691, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10093678.084935276, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10093678.084935276, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10022055.90958463, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10022055.90958463, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9959113.332252601, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9959113.332252601, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9904471.381944738, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9904471.381944738, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9857566.988895562, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9857566.988895562, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9817713.479318874, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9817713.479318874, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9784158.875562938, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9784158.875562938, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9756135.4293958, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9756135.4293958, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9732897.547924208, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9732897.547924208, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9713747.933154197, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9713747.933154197, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9698053.28484727, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9698053.28484727, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9685251.610393653, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9685251.610393653, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9674853.346299471, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9674853.346299471, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9666438.328081315, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9666438.328081315, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9659650.291029936, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9659650.291029936, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9654190.159247063, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9654190.159247063, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9649808.977198932, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9649808.977198932, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9646301.012972398, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9646301.012972398, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9643497.331329834, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9643497.331329834, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9641259.984843817, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9641259.984843817, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9639476.879484767, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9639476.879484767, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9638057.315691978, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9638057.315691978, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9636928.172691077, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9636928.172691077, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9636030.684258943, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9636030.684258943, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9635317.743812287, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9635317.743812287, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9634751.672914779, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9634751.672914779, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9634302.388158696, tolerance: 4445.102149685068\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9634302.388158696, tolerance: 4445.102149685068\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182535.705905367, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182535.705905367, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182443.31748153, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182443.31748153, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182326.738805104, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182326.738805104, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182179.636849403, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22182179.636849403, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181994.021044992, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181994.021044992, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181759.809716668, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181759.809716668, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181464.28327085, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181464.28327085, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181091.39464482, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22181091.39464482, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22180620.89990636, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22180620.89990636, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22180027.262331244, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22180027.262331244, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22179278.27131426, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22179278.27131426, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22178333.30250969, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22178333.30250969, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22177141.126954924, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22177141.126954924, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22175637.153777506, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22175637.153777506, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22173739.962460298, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22173739.962460298, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22171346.945451487, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22171346.945451487, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22168328.83898362, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22168328.83898362, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22164522.86814139, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22164522.86814139, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22159724.170510717, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22159724.170510717, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22153675.090679448, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22153675.090679448, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22146051.856030278, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22146051.856030278, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22136448.05522982, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22136448.05522982, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22124354.250566233, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22124354.250566233, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22109132.97552027, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22109132.97552027, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22089988.320511386, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22089988.320511386, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22065929.327634364, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22065929.327634364, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22035726.555516478, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 22035726.555516478, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21997861.52451259, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21997861.52451259, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21950469.43740475, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21950469.43740475, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21891276.769023754, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21891276.769023754, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21817537.260214396, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21817537.260214396, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21725972.80421009, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21725972.80421009, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21612729.92224466, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21612729.92224466, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21473368.08108258, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21473368.08108258, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21302902.69437747, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21302902.69437747, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21095932.158423126, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 21095932.158423126, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20846882.286273133, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20846882.286273133, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20550398.911674757, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20550398.911674757, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20201904.639180813, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 20201904.639180813, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19798303.254432607, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19798303.254432607, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19338763.60317261, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 19338763.60317261, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18825451.629099563, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18825451.629099563, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18264026.303933263, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 18264026.303933263, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17663705.112665202, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17663705.112665202, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17036766.85903686, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 17036766.85903686, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16397496.223623449, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16397496.223623449, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15760744.92149185, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15760744.92149185, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15140415.226936534, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15140415.226936534, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14548197.66197113, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14548197.66197113, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13992801.316187331, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13992801.316187331, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13479749.374918321, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13479749.374918321, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13011650.716625076, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13011650.716625076, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12588761.536151327, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12588761.536151327, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12209637.009462353, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12209637.009462353, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11871722.016013274, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11871722.016013274, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11571805.12738007, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11571805.12738007, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11306328.206388844, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11306328.206388844, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11071585.798533637, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11071585.798533637, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10863860.419768564, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10863860.419768564, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10679529.96999051, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10679529.96999051, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10515164.967978276, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10515164.967978276, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10367617.395431116, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10367617.395431116, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10234094.932508666, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10234094.932508666, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10112213.557229094, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10112213.557229094, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10000024.23575536, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10000024.23575536, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9896012.57105465, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9896012.57105465, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9799072.614562154, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9799072.614562154, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9708457.890308099, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9708457.890308099, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9623714.619163413, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9623714.619163413, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9544604.25348744, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9544604.25348744, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9471024.212762302, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9471024.212762302, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9402936.228999598, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9402936.228999598, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9340310.144654753, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9340310.144654753, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9283087.29859646, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9283087.29859646, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9231162.854348717, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9231162.854348717, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9184382.359520858, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9184382.359520858, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9142546.024753645, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9142546.024753645, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9105415.114890352, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9105415.114890352, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9072717.557093456, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9072717.557093456, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9044152.703403218, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9044152.703403218, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9019396.685310023, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9019396.685310023, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8998109.575324507, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8998109.575324507, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8979944.333787149, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8979944.333787149, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8964556.387394711, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8964556.387394711, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8951612.3695335, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8951612.3695335, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8940797.002727017, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8940797.002727017, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8931817.822045382, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8931817.822045382, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8924407.976697778, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8924407.976697778, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8918327.548498938, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8918327.548498938, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8913363.779400796, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8913363.779400796, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8909330.473245148, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8909330.473245148, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8906066.743651448, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8906066.743651448, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8903435.248435475, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8903435.248435475, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8901320.0564094, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8901320.0564094, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8899624.301448012, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8899624.301448012, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8898267.772619218, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8898267.772619218, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8897184.565959448, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8897184.565959448, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8896320.890152896, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8896320.890152896, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8895633.08348321, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8895633.08348321, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8895085.869018715, tolerance: 4436.577708196869\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8895085.869018715, tolerance: 4436.577708196869\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.271e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.271e+07, tolerance: 5.332e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -6843,2007 +6843,2007 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002961.893047336, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002961.893047336, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002909.292721532, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002909.292721532, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002842.919898538, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002842.919898538, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002759.16890147, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002759.16890147, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002653.490324104, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002653.490324104, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002520.144170538, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002520.144170538, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002351.888507718, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002351.888507718, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002139.586836109, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16002139.586836109, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16001871.713040235, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16001871.713040235, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16001533.727331886, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16001533.727331886, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16001107.28977405, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16001107.28977405, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16000569.269442707, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16000569.269442707, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999890.496647634, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999890.496647634, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999034.192416634, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999034.192416634, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15997953.993094172, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15997953.993094172, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15996591.467783943, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15996591.467783943, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15994873.001788342, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15994873.001788342, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15992705.889472542, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15992705.889472542, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15989973.444502639, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15989973.444502639, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15986528.893835295, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15986528.893835295, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15982187.774395373, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15982187.774395373, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15976718.499356627, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15976718.499356627, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15969830.707495732, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15969830.707495732, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15961160.960501963, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15961160.960501963, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15950255.320705947, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15950255.320705947, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15936548.344581451, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15936548.344581451, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15919338.096469924, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15919338.096469924, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15897756.97009871, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15897756.97009871, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15870738.473491088, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15870738.473491088, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15836980.785622943, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15836980.785622943, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15794908.961932577, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15794908.961932577, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15742639.305781398, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15742639.305781398, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15677951.783964379, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15677951.783964379, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15598279.520216344, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15598279.520216344, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15500728.213326858, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15500728.213326858, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15382142.225333132, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15382142.225333132, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15239236.776243072, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15239236.776243072, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15068814.890988702, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15068814.890988702, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14868080.263148528, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14868080.263148528, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14635039.685599191, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14635039.685599191, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14368959.698660212, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14368959.698660212, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14070805.23862632, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14070805.23862632, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13743554.88143778, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13743554.88143778, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13392276.560592549, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13392276.560592549, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13023877.88091306, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13023877.88091306, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12646520.933576018, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12646520.933576018, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12268792.343592053, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12268792.343592053, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11898803.095559342, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11898803.095559342, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11543417.93091813, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11543417.93091813, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11207766.718773343, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11207766.718773343, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10895093.611569963, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10895093.611569963, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10606899.312997252, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10606899.312997252, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10343266.88124088, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10343266.88124088, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10103247.353431445, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10103247.353431445, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9885208.910573516, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9885208.910573516, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9687100.478192497, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9687100.478192497, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9506625.781409387, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9506625.781409387, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9341352.903950285, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9341352.903950285, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9188793.402093235, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9188793.402093235, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9046478.453631114, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9046478.453631114, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8912045.904589174, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8912045.904589174, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8783339.107432563, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8783339.107432563, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8658509.901020331, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8658509.901020331, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8536113.828113679, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8536113.828113679, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8415183.975072118, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8415183.975072118, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8295269.742745581, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8295269.742745581, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8176429.120013418, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8176429.120013418, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8059168.8293056125, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8059168.8293056125, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7944335.999206969, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7944335.999206969, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7832975.645216511, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7832975.645216511, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7726176.614947152, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7726176.614947152, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7624931.461247044, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7624931.461247044, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7530031.627469164, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7530031.627469164, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7442009.746564693, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7442009.746564693, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7361129.1469736025, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7361129.1469736025, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7287410.63533624, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7287410.63533624, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7220681.095616933, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7220681.095616933, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7160628.395404535, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7160628.395404535, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7106851.48376607, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7106851.48376607, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7058900.76970095, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7058900.76970095, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7016308.880858365, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7016308.880858365, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6978613.911777701, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6978613.911777701, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6945376.571027264, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6945376.571027264, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6916191.049528801, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6916191.049528801, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6890688.79244657, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6890688.79244657, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6868535.393319955, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6868535.393319955, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6849422.765039895, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6849422.765039895, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6833060.05095333, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6833060.05095333, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6819166.544534292, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6819166.544534292, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6807468.458908728, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6807468.458908728, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6797699.628345776, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6797699.628345776, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6789604.944998693, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6789604.944998693, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6782944.868629447, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6782944.868629447, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6777499.565630652, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6777499.565630652, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6773071.791553852, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6773071.791553852, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6769488.209512218, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6769488.209512218, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6766599.256783063, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6766599.256783063, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6764277.892213011, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6764277.892213011, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6762417.6162482, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6762417.6162482, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6760930.116967933, tolerance: 3200.6325551004925\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6760930.116967933, tolerance: 3200.6325551004925\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173612.82487654, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173612.82487654, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173560.33151807, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173560.33151807, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173494.093703294, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173494.093703294, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173410.51311625, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173410.51311625, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173305.049649913, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173305.049649913, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173171.975059805, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173171.975059805, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173004.062268812, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15173004.062268812, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15172792.193566969, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15172792.193566969, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15172524.866617758, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15172524.866617758, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15172187.571748763, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15172187.571748763, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15171762.00720005, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15171762.00720005, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15171225.090500388, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15171225.090500388, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15170547.71354342, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15170547.71354342, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15169693.175771877, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15169693.175771877, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15168615.213598879, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15168615.213598879, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15167255.524179863, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15167255.524179863, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15165540.657224856, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15165540.657224856, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15163378.11903821, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15163378.11903821, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15160651.497821936, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15160651.497821936, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15157214.378191706, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15157214.378191706, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15152882.766135195, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15152882.766135195, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15147425.6946986, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15147425.6946986, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15140553.628850497, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15140553.628850497, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15131904.241777299, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15131904.241777299, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15121025.105980713, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15121025.105980713, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15107352.850599289, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15107352.850599289, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15090188.41286841, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15090188.41286841, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15068668.205066573, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15068668.205066573, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15041731.400110113, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15041731.400110113, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15008084.208955988, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15008084.208955988, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14966163.110870235, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14966163.110870235, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14914100.653844737, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14914100.653844737, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14849699.805850953, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14849699.805850953, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14770425.961151276, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14770425.961151276, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14673429.41690654, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14673429.41690654, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14555614.815015966, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14555614.815015966, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14413776.349016687, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14413776.349016687, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14244816.178940995, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14244816.178940995, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14046055.366934752, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14046055.366934752, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13815628.708094303, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13815628.708094303, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13552926.205683708, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13552926.205683708, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13259008.940702371, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13259008.940702371, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12936897.573228309, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12936897.573228309, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12591625.616217315, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12591625.616217315, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12229982.920676824, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12229982.920676824, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11859948.802383406, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11859948.802383406, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11489906.8603167, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11489906.8603167, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11127805.377401602, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11127805.377401602, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10780443.14443526, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10780443.14443526, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10453012.587348029, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10453012.587348029, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10148944.578529166, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10148944.578529166, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9870012.667698365, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9870012.667698365, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9616601.230672905, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9616601.230672905, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9388032.941233683, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9388032.941233683, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9182876.289070565, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9182876.289070565, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8999193.791535858, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8999193.791535858, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8834727.19434187, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8834727.19434187, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8687036.347689679, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8687036.347689679, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8553612.383287674, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8553612.383287674, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8431979.280234471, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8431979.280234471, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8319788.946660187, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8319788.946660187, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8214909.054690647, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8214909.054690647, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8115501.1056430675, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8115501.1056430675, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8020086.35524954, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8020086.35524954, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7927596.53846852, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7927596.53846852, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7837403.822275469, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7837403.822275469, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7749321.535335509, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7749321.535335509, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7663566.802084766, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7663566.802084766, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7580680.550684168, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7580680.550684168, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7501409.564666606, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7501409.564666606, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7426566.500521793, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7426566.500521793, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7356892.242162683, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7356892.242162683, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7292946.117484922, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7292946.117484922, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7235042.041596897, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7235042.041596897, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7183235.551674365, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7183235.551674365, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7137353.553695727, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7137353.553695727, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7097050.348456673, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7097050.348456673, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7061872.012726546, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7061872.012726546, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7031315.123405474, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7031315.123405474, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7004872.089238734, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7004872.089238734, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6982061.123036072, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6982061.123036072, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6962442.578610088, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6962442.578610088, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6945624.890073966, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6945624.890073966, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6931263.4663270125, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6931263.4663270125, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6919055.476661856, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6919055.476661856, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6908732.977539104, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6908732.977539104, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6900056.2920428645, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6900056.2920428645, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6892808.858171555, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6892808.858171555, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6886793.977603645, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6886793.977603645, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6881833.233569127, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6881833.233569127, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6877765.97498893, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6877765.97498893, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6874449.207170451, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6874449.207170451, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6871757.386867455, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6871757.386867455, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6869581.853912757, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6869581.853912757, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6867829.838852352, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6867829.838852352, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6866423.119345377, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6866423.119345377, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6865296.456501478, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6865296.456501478, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6864395.94700243, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6864395.94700243, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6863677.402652601, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6863677.402652601, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6863104.834999971, tolerance: 3034.7626598069196\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6863104.834999971, tolerance: 3034.7626598069196\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16000126.775776321, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16000126.775776321, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16000067.997791689, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16000067.997791689, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999993.829780785, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999993.829780785, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999900.242584623, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999900.242584623, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999782.152469946, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999782.152469946, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999633.14527111, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999633.14527111, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999445.128467944, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999445.128467944, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999207.892430544, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15999207.892430544, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15998908.557207122, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15998908.557207122, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15998530.875140417, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15998530.875140417, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15998054.351968959, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15998054.351968959, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15997453.139532348, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15997453.139532348, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15996694.641307216, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15996694.641307216, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15995737.757220387, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15995737.757220387, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15994530.675893765, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15994530.675893765, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15993008.099962447, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15993008.099962447, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15991087.762599917, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15991087.762599917, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15988666.060097354, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15988666.060097354, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15985612.585588472, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15985612.585588472, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15981763.302383827, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15981763.302383827, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15976912.042096594, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15976912.042096594, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15970799.954194367, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15970799.954194367, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15963102.47325135, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15963102.47325135, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15953413.314912459, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15953413.314912459, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15941224.973906962, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15941224.973906962, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15925905.198558565, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15925905.198558565, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15906668.990428165, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15906668.990428165, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15882545.878220897, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15882545.878220897, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15852342.621036042, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15852342.621036042, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15814602.219371142, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15814602.219371142, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15767561.301116722, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15767561.301116722, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15709109.781098895, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15709109.781098895, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15636759.341258615, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15636759.341258615, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15547630.840385439, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15547630.840385439, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15438475.105455775, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15438475.105455775, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15305746.07465526, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15305746.07465526, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15145748.542592412, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15145748.542592412, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14954882.27386727, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14954882.27386727, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14729996.36384661, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14729996.36384661, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14468848.510940228, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14468848.510940228, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14170631.317143818, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14170631.317143818, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13836485.361873377, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13836485.361873377, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13469879.089990832, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13469879.089990832, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13076719.754361462, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13076719.754361462, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12665089.79937819, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12665089.79937819, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12244586.676668119, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12244586.676668119, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11825360.36369123, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11825360.36369123, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11417044.801169304, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11417044.801169304, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11027817.645702794, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11027817.645702794, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10663776.910200799, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10663776.910200799, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10328716.2675956, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10328716.2675956, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10024263.64783793, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10024263.64783793, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9750266.819731826, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9750266.819731826, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9505284.688773429, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9505284.688773429, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9287065.61072085, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9287065.61072085, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9092940.776433397, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9092940.776433397, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8920108.266351493, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8920108.266351493, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8765816.866835387, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8765816.866835387, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8627473.905487, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8627473.905487, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8502702.196109628, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8502702.196109628, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8389365.458262948, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8389365.458262948, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8285575.962199782, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8285575.962199782, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8189695.129107317, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8189695.129107317, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8100335.848355204, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8100335.848355204, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8016371.614804332, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8016371.614804332, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7936951.343980087, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7936951.343980087, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7861511.843847987, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7861511.843847987, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7789775.81877588, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7789775.81877588, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7721724.491724883, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7721724.491724883, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7657540.53569288, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7657540.53569288, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7597526.506006125, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7597526.506006125, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7542012.431576015, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7542012.431576015, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7491270.131106991, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7491270.131106991, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7445449.741931618, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7445449.741931618, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7404547.164364969, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7404547.164364969, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7368402.734578147, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7368402.734578147, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7336724.612267373, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7336724.612267373, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7309126.908337014, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7309126.908337014, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7285172.53934286, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7285172.53934286, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7264413.0266303, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7264413.0266303, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7246420.465473388, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7246420.465473388, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7230809.549602925, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7230809.549602925, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7217249.407961924, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7217249.407961924, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7205466.206412938, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7205466.206412938, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7195238.325930048, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7195238.325930048, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7186386.647782039, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7186386.647782039, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7178762.875061372, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7178762.875061372, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7172238.602284237, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7172238.602284237, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7166697.001612171, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7166697.001612171, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7162027.848205515, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7162027.848205515, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7158125.584421616, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7158125.584421616, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7154889.512672326, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7154889.512672326, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7152225.062096559, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7152225.062096559, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7150045.262096591, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7150045.262096591, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7148271.882784204, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7148271.882784204, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7146836.014641162, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7146836.014641162, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7145678.080780019, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7145678.080780019, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7144747.393668608, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7144747.393668608, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7144001.407092072, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7144001.407092072, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7143404.805305656, tolerance: 3200.070250165819\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7143404.805305656, tolerance: 3200.070250165819\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766426.844425442, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766426.844425442, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766379.012219734, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766379.012219734, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766318.655993313, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766318.655993313, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766242.496938994, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766242.496938994, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766146.398082258, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766146.398082258, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766025.13980752, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13766025.13980752, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765872.136748439, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765872.136748439, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765679.08077331, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765679.08077331, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765435.490848666, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765435.490848666, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765128.145612368, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13765128.145612368, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13764740.368286435, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13764740.368286435, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13764251.12581003, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13764251.12581003, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13763633.894413952, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13763633.894413952, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13762855.231859002, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13762855.231859002, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13761872.98172164, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13761872.98172164, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13760634.01686267, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13760634.01686267, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13759071.406945651, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13759071.406945651, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13757100.867966294, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13757100.867966294, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13754616.31968939, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13754616.31968939, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13751484.339396805, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13751484.339396805, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13747537.257695232, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13747537.257695232, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13742564.595583746, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13742564.595583746, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13736302.49455343, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13736302.49455343, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13728420.749109622, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13728420.749109622, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13718507.02436845, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13718507.02436845, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13706047.848124275, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13706047.848124275, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13690406.03569032, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13690406.03569032, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13670794.381086988, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13670794.381086988, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13646245.795015218, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13646245.795015218, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13615580.679837886, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13615580.679837886, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13577373.323622873, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13577373.323622873, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13529920.608156208, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13529920.608156208, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13471218.48980598, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13471218.48980598, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13398954.581488008, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13398954.581488008, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13310528.590455977, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13310528.590455977, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13203115.797389356, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13203115.797389356, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13073790.981404455, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13073790.981404455, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12919729.112886174, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12919729.112886174, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12738491.873820404, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12738491.873820404, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12528392.752768412, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12528392.752768412, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12288907.120278118, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12288907.120278118, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12021061.050642934, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12021061.050642934, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11727704.457379244, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11727704.457379244, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11413566.98420337, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11413566.98420337, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11085024.381464427, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11085024.381464427, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10749570.986969216, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10749570.986969216, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10415080.823900381, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10415080.823900381, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10089009.138994666, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10089009.138994666, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9777704.218602655, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9777704.218602655, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9485957.157639354, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9485957.157639354, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9216836.907742979, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9216836.907742979, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8971777.239570614, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8971777.239570614, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8750831.806329573, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8750831.806329573, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8553002.845594905, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8553002.845594905, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8376568.552591967, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8376568.552591967, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8219365.99395707, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8219365.99395707, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8079015.288983279, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8079015.288983279, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7953088.9445123505, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7953088.9445123505, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7839237.297915861, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7839237.297915861, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7735280.8174845725, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7735280.8174845725, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7639277.0523840925, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7639277.0523840925, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7549567.214150196, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7549567.214150196, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7464805.436922483, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7464805.436922483, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7383972.203368484, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7383972.203368484, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7306371.938584399, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7306371.938584399, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7231613.9732326735, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7231613.9732326735, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7159576.877369866, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7159576.877369866, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7090358.567763316, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7090358.567763316, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7024217.2241215855, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7024217.2241215855, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6961509.172985473, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6961509.172985473, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6902628.941757254, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6902628.941757254, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6847954.742128507, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6847954.742128507, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6797801.388530005, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6797801.388530005, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6752382.798167879, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6752382.798167879, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6711786.944628094, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6711786.944628094, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6675965.981966857, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6675965.981966857, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6644742.448857503, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6644742.448857503, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6617829.550839442, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6617829.550839442, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6594860.867273544, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6594860.867273544, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6575423.588385814, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6575423.588385814, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6559089.833983606, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6559089.833983606, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6545442.225937976, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6545442.225937976, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6534091.895329608, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6534091.895329608, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6524688.873515937, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6524688.873515937, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6516926.039701696, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6516926.039701696, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6510538.426567688, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6510538.426567688, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6505299.7780512385, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6505299.7780512385, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6501017.943079299, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6501017.943079299, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6497530.176477653, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6497530.176477653, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6494698.902794392, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6494698.902794392, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6492408.111473216, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6492408.111473216, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6490560.3336993465, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6490560.3336993465, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6489074.074242126, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6489074.074242126, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6487881.578697735, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6487881.578697735, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6486926.855244275, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6486926.855244275, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6486163.908028902, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6486163.908028902, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6485555.163897053, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6485555.163897053, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6485070.084972435, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6485070.084972435, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6484683.961142942, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6484683.961142942, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6484376.8736711275, tolerance: 2753.321903486231\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6484376.8736711275, tolerance: 2753.321903486231\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123836.286658319, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123836.286658319, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123762.414447501, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123762.414447501, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123669.200043006, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123669.200043006, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123551.579596577, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123551.579596577, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123403.163871313, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123403.163871313, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123215.891543608, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16123215.891543608, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16122979.591935372, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16122979.591935372, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16122681.433587788, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16122681.433587788, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16122305.228986472, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16122305.228986472, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16121830.55809336, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16121830.55809336, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16121231.663752725, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16121231.663752725, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16120476.060052717, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16120476.060052717, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16119522.779778486, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16119522.779778486, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16118320.168518286, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16118320.168518286, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16116803.109996723, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16116803.109996723, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16114889.538918179, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16114889.538918179, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16112476.063036688, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16112476.063036688, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16109432.47434148, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16109432.47434148, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16105594.879294181, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16105594.879294181, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16100757.119470121, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16100757.119470121, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16094660.087017829, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16094660.087017829, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16086978.46580684, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16086978.46580684, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16077304.35332688, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16077304.35332688, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16065127.149018394, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16065127.149018394, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16049809.047450969, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16049809.047450969, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16030555.476241706, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16030555.476241706, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16006379.911872495, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 16006379.911872495, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15976062.758394275, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15976062.758394275, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15938104.483596483, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15938104.483596483, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15890674.11469827, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15890674.11469827, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15831555.686060235, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15831555.686060235, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15758097.525340755, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15758097.525340755, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15667172.578206709, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15667172.578206709, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15555162.420748936, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15555162.420748936, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15417983.020182043, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15417983.020182043, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15251175.908593165, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15251175.908593165, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15050092.453317674, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 15050092.453317674, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14810198.177746587, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14810198.177746587, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14527514.082835246, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14527514.082835246, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14199187.811678281, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 14199187.811678281, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13824146.920817537, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13824146.920817537, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13403734.027286602, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 13403734.027286602, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12942174.869677957, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12942174.869677957, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12446711.659031235, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 12446711.659031235, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11927272.408043081, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11927272.408043081, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11395650.820912804, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 11395650.820912804, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10864314.587176824, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10864314.587176824, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10345084.699656613, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 10345084.699656613, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9847974.664610261, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9847974.664610261, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9380422.144947704, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9380422.144947704, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8947015.008946363, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8947015.008946363, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8549670.25861056, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8549670.25861056, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8188124.101396974, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8188124.101396974, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7860558.677097185, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7860558.677097185, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7564216.251072414, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7564216.251072414, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7295907.831051512, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7295907.831051512, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7052382.339382325, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7052382.339382325, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6830565.9531656, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6830565.9531656, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6627701.871803495, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6627701.871803495, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6441421.548990706, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6441421.548990706, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6269768.629955583, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6269768.629955583, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6111186.722532658, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6111186.722532658, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5964477.8422521455, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5964477.8422521455, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5828739.876908956, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5828739.876908956, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5703294.550898104, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5703294.550898104, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5587617.998651163, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5587617.998651163, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5481282.987854576, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5481282.987854576, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5383916.678079197, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5383916.678079197, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5295172.882818847, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5295172.882818847, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5214714.536832884, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5214714.536832884, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5142200.898831903, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5142200.898831903, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5077274.992035702, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5077274.992035702, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5019549.576235791, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5019549.576235791, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4968593.444998971, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4968593.444998971, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4923922.319001433, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4923922.319001433, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4884998.717484867, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4884998.717484867, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4851242.93844572, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4851242.93844572, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4822053.96370539, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4822053.96370539, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4796836.339338534, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4796836.339338534, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4775027.808895556, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4775027.808895556, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4756122.72319144, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4756122.72319144, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4739687.533593078, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4739687.533593078, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4725366.495343714, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4725366.495343714, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4712877.711579567, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4712877.711579567, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4702001.540622955, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4702001.540622955, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4692564.7733192, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4692564.7733192, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4684424.413915036, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4684424.413915036, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4677454.213645212, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4677454.213645212, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4671535.662147184, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4671535.662147184, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4666553.581406483, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4666553.581406483, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4662395.34181063, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4662395.34181063, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4658952.2530382, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4658952.2530382, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4656121.7760819215, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4656121.7760819215, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4653809.600037627, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4653809.600037627, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4651931.081491712, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4651931.081491712, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4650411.90595999, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4650411.90595999, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4649188.052146216, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4649188.052146216, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4648205.23751574, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4648205.23751574, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4647418.038791819, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4647418.038791819, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: UserWarning: Coordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4646788.852992944, tolerance: 3224.823681413525\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:614: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4646788.852992944, tolerance: 3224.823681413525\n", " model = cd_fast.enet_coordinate_descent_gram(\n", - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 3.855e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.153e+07, tolerance: 3.855e+03 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, @@ -9530,7 +9530,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -9543,7 +9543,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch07-nonlin-lab.Rmd b/Ch07-nonlin-lab.Rmd index c2abf72..c595752 100644 --- a/Ch07-nonlin-lab.Rmd +++ b/Ch07-nonlin-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch07-nonlin-lab.ipynb b/Ch07-nonlin-lab.ipynb index 299d9bc..397b203 100644 --- a/Ch07-nonlin-lab.ipynb +++ b/Ch07-nonlin-lab.ipynb @@ -2541,7 +2541,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_81087/2135516388.py:1: UserWarning: KNOWN BUG: p-values computed in this summary are likely much smaller than they should be. \n", + "/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_84754/2135516388.py:1: UserWarning: KNOWN BUG: p-values computed in this summary are likely much smaller than they should be. \n", " \n", "Please do not make inferences based on these values! \n", "\n", @@ -2977,7 +2977,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -2990,7 +2990,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch08-baggboost-lab.Rmd b/Ch08-baggboost-lab.Rmd index 50e480c..67a23d6 100644 --- a/Ch08-baggboost-lab.Rmd +++ b/Ch08-baggboost-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch08-baggboost-lab.ipynb b/Ch08-baggboost-lab.ipynb index ac79d45..6bf95ef 100644 --- a/Ch08-baggboost-lab.ipynb +++ b/Ch08-baggboost-lab.ipynb @@ -1584,7 +1584,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -1597,7 +1597,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch09-svm-lab.Rmd b/Ch09-svm-lab.Rmd index 0b653ef..e08f732 100644 --- a/Ch09-svm-lab.Rmd +++ b/Ch09-svm-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch09-svm-lab.ipynb b/Ch09-svm-lab.ipynb index 7900ed6..c496134 100644 --- a/Ch09-svm-lab.ipynb +++ b/Ch09-svm-lab.ipynb @@ -889,7 +889,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -1730,7 +1730,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -1743,7 +1743,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch10-deeplearning-lab.Rmd b/Ch10-deeplearning-lab.Rmd index 51674b6..111a8df 100644 --- a/Ch10-deeplearning-lab.Rmd +++ b/Ch10-deeplearning-lab.Rmd @@ -1,3 +1,14 @@ +--- +jupyter: + jupytext: + cell_metadata_filter: -all + formats: Rmd,ipynb + text_representation: + extension: .Rmd + format_name: rmarkdown + format_version: '1.2' + jupytext_version: 1.14.7 +--- # Chapter 10 diff --git a/Ch10-deeplearning-lab.ipynb b/Ch10-deeplearning-lab.ipynb index 977e821..32d85fc 100644 --- a/Ch10-deeplearning-lab.ipynb +++ b/Ch10-deeplearning-lab.ipynb @@ -666,7 +666,7 @@ "Total params: 1,051\n", "Trainable params: 1,051\n", "Non-trainable params: 0\n", - 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"model_id": "", + "model_id": "18a31aba978d4a8692111fb6c55fe85d", "version_major": 2, "version_minor": 0 }, @@ -4789,7 +4737,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "c520605694ca49158bca1679e5987432", "version_major": 2, "version_minor": 0 }, @@ -4803,7 +4751,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "59894643e27a46a091c3c42ffd1e9797", "version_major": 2, "version_minor": 0 }, @@ -4817,7 +4765,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "5adba0c8771a46e9a4b64c5492134377", "version_major": 2, "version_minor": 0 }, @@ -4831,7 +4779,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "05cc7d17519247d4bed8d0260fd8c9c6", "version_major": 2, "version_minor": 0 }, @@ -4845,7 +4793,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "48808854ac234c8ca63b5e5b273f17bd", "version_major": 2, "version_minor": 0 }, @@ -4859,7 +4807,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "92cf213e529d4e34be6d8473a8ca6b23", "version_major": 2, "version_minor": 0 }, @@ -4873,7 +4821,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "ec82fcb270004491a95123102e13a852", "version_major": 2, "version_minor": 0 }, @@ -4887,7 +4835,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "5abf5e8af169412a9ceef746437ccaf4", "version_major": 2, "version_minor": 0 }, @@ -4901,7 +4849,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "978f680372c846dabc500b9ccb9b80d8", "version_major": 2, "version_minor": 0 }, @@ -4915,7 +4863,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "ac9a9c30854f4607a35ddb6623a312b6", "version_major": 2, "version_minor": 0 }, @@ -4929,7 +4877,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "ad5df9b2fa754520af1210fe3e8e8406", "version_major": 2, "version_minor": 0 }, @@ -4943,7 +4891,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "27ff88a097934fecb6d5897713435267", "version_major": 2, "version_minor": 0 }, @@ -4957,7 +4905,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "243e06349f03454cbcab5ecd2d67f896", "version_major": 2, "version_minor": 0 }, @@ -4971,7 +4919,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "9443d9fd5d7b45649a37e5cc1f52c58d", "version_major": 2, "version_minor": 0 }, @@ -4985,7 +4933,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "c531fb2f7d5244ad8d0c0e4a4ee028c7", "version_major": 2, "version_minor": 0 }, @@ -4999,7 +4947,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "b5460433203542fea838b387894252c0", "version_major": 2, "version_minor": 0 }, @@ -5013,7 +4961,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "c7c5e5f98571429b8dd82815442cd626", "version_major": 2, "version_minor": 0 }, @@ -5034,7 +4982,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4f37d3b614314b6fbf9dfb3df1775948", + "model_id": "486106ba7b134b3682fc506c03ebce5e", "version_major": 2, "version_minor": 0 }, @@ -5326,7 +5274,7 @@ "Total params: 25,557,032\n", "Trainable params: 25,557,032\n", "Non-trainable params: 0\n", - "Total mult-adds (Units.GIGABYTES): 24.54\n", + "Total mult-adds (G): 24.54\n", "===================================================================================================================\n", "Input size (MB): 3.61\n", "Forward/backward pass size (MB): 1066.99\n", @@ -5923,7 +5871,7 @@ "Total params: 160,353\n", "Trainable params: 160,353\n", "Non-trainable params: 0\n", - "Total mult-adds (Units.GIGABYTES): 4.01\n", + "Total mult-adds (G): 4.01\n", "===================================================================================================================\n", "Input size (MB): 1000.30\n", "Forward/backward pass size (MB): 6.60\n", @@ -6019,7 +5967,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "795333e5d7b84fc6812fcf3dd6391bfa", "version_major": 2, "version_minor": 0 }, @@ -6034,14 +5982,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonathantaylor/anaconda3/envs/islp_freeze_311/lib/python3.11/site-packages/pytorch_lightning/loops/fit_loop.py:280: PossibleUserWarning: The number of training batches (45) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n", + "/Users/jonathantaylor/anaconda3/envs/isolated_env_1eb44da1_Ch10/lib/python3.10/site-packages/pytorch_lightning/loops/fit_loop.py:280: PossibleUserWarning: The number of training batches (45) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n", " rank_zero_warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "253cf3e077d845569cdc459ef74902b6", + "model_id": "7c1ce82c29a644f68f5706783e08927a", "version_major": 2, "version_minor": 0 }, @@ -6055,7 +6003,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "b1ac59bc49094a708bfa29f4fc194a71", "version_major": 2, "version_minor": 0 }, @@ -6069,7 +6017,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "21a870683e2a4e0ebb2b86c8c9afeb53", "version_major": 2, "version_minor": 0 }, @@ -6083,7 +6031,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "8bae27914733459abdb5e8df79747137", "version_major": 2, "version_minor": 0 }, @@ -6097,7 +6045,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "8804e3a20d1c49958518a664bd63f369", "version_major": 2, "version_minor": 0 }, @@ -6111,7 +6059,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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"model_id": "", + "model_id": "77450f9684cd42ac9ebc992dd86590b7", "version_major": 2, "version_minor": 0 }, @@ -6209,7 +6157,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "0d41009181074ffcbc2b81fd23a5e486", "version_major": 2, "version_minor": 0 }, @@ -6223,7 +6171,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "86ad33abbff742d3a66014271d575da4", "version_major": 2, "version_minor": 0 }, @@ -6237,7 +6185,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "170aa9e0a58c449f97cc5d210cba04a9", "version_major": 2, "version_minor": 0 }, @@ -6251,7 +6199,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "6357463ea1464043b3aaa481d08ec4dc", "version_major": 2, "version_minor": 0 }, @@ -6265,7 +6213,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "c67de6d754454a28a4eb9da14cfb9b45", "version_major": 2, "version_minor": 0 }, @@ -6279,7 +6227,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "226a8c4a25194a5597a56915a9a203e6", "version_major": 2, "version_minor": 0 }, @@ -6293,7 +6241,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "ab01bdbc450a426b8766f783bb71eb17", "version_major": 2, "version_minor": 0 }, @@ -6307,7 +6255,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "2e7f5f09bce94cdd808251b783ff7195", "version_major": 2, "version_minor": 0 }, @@ -6321,7 +6269,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "077790461d6a43db8c785be6c6f2f71b", "version_major": 2, "version_minor": 0 }, @@ -6335,7 +6283,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "7782347a868a4cb09ad084e0593fc921", "version_major": 2, "version_minor": 0 }, @@ -6349,7 +6297,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "46a12e5ee12547f5864399e6f3cdd08b", "version_major": 2, "version_minor": 0 }, @@ -6363,7 +6311,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "6cc156f0ca724500b25ebd9e8f9e11df", "version_major": 2, "version_minor": 0 }, @@ -6377,7 +6325,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "02c4f52ca3784311886f0616648ece3f", "version_major": 2, "version_minor": 0 }, @@ -6391,7 +6339,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "9ef5b02f482344818b2aeb04cc8ff5bf", "version_major": 2, "version_minor": 0 }, @@ -6405,7 +6353,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "2ed0de87ff334b7396d54733b8cb942c", "version_major": 2, "version_minor": 0 }, @@ -6419,7 +6367,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "710efb8aace342a48ef6148920857667", "version_major": 2, "version_minor": 0 }, @@ -6433,7 +6381,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "", + "model_id": "491665fa6ec546cc87dfe5f3ad1858f5", "version_major": 2, "version_minor": 0 }, @@ -6447,7 +6395,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n", + " Test metric DataLoader 0\n", + "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n", + " test_accuracy 0.8549200296401978\n", + " test_loss 0.7031683325767517\n", + "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n" + ] }, { "data": { "text/plain": [ - "[{'test_loss': 0.7677657604217529, 'test_accuracy': 0.8480799794197083}]" + "[{'test_loss': 0.7031683325767517, 'test_accuracy': 0.8549200296401978}]" ] }, "execution_count": 91, @@ -7439,7 +7361,7 @@ }, { "data": { - "image/png": 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", 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", 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"object_position": null, + "order": null, + "overflow": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + } + }, + "version_major": 2, + "version_minor": 0 + } } }, "nbformat": 4, diff --git a/Ch11-surv-lab.Rmd b/Ch11-surv-lab.Rmd index 37c258b..2e3bdd0 100644 --- a/Ch11-surv-lab.Rmd +++ b/Ch11-surv-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch11-surv-lab.ipynb b/Ch11-surv-lab.ipynb index d2d13c8..70c27d5 100644 --- a/Ch11-surv-lab.ipynb +++ b/Ch11-surv-lab.ipynb @@ -2528,7 +2528,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -2541,7 +2541,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch12-unsup-lab.Rmd b/Ch12-unsup-lab.Rmd index 8f885f4..164607a 100644 --- a/Ch12-unsup-lab.Rmd +++ b/Ch12-unsup-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch12-unsup-lab.ipynb b/Ch12-unsup-lab.ipynb index c67392a..db5293d 100644 --- a/Ch12-unsup-lab.ipynb +++ b/Ch12-unsup-lab.ipynb @@ -3102,7 +3102,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -3115,7 +3115,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/Ch13-multiple-lab.Rmd b/Ch13-multiple-lab.Rmd index bee30c3..59d7b73 100644 --- a/Ch13-multiple-lab.Rmd +++ b/Ch13-multiple-lab.Rmd @@ -2,7 +2,7 @@ jupyter: jupytext: cell_metadata_filter: -all - formats: ipynb,Rmd + formats: Rmd,ipynb main_language: python text_representation: extension: .Rmd diff --git a/Ch13-multiple-lab.ipynb b/Ch13-multiple-lab.ipynb index f5c9390..9ed586b 100644 --- a/Ch13-multiple-lab.ipynb +++ b/Ch13-multiple-lab.ipynb @@ -1423,7 +1423,7 @@ "metadata": { "jupytext": { "cell_metadata_filter": "-all", - "formats": "ipynb,Rmd", + "formats": "Rmd,ipynb", "main_language": "python" }, "language_info": { @@ -1436,7 +1436,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/README.md b/README.md index 34e6dde..8e49c0e 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ISLP_labs -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/intro-stat-learning/ISLP_labs/v2.1) +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/intro-stat-learning/ISLP_labs/v2.1.2) Up-to-date version of labs for ISLP. @@ -12,7 +12,7 @@ intent is that building a conda environment with To install the current version of the requirements run ``` -pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v2.1/requirements.txt; +pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v2.1.2/requirements.txt; ``` The labs can now be run from this directory: