Fix bootstrap (#80)
* update README.md for v2.2.3 * fixing issue for dataframes with duplicates in the index * bump labs version to v2.2.4 in README Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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Jonathan TaylorandClaude Opus 5.5 authored and 
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@@ -32,12 +32,6 @@
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"Auto = load_data('Auto')\n",
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"hp_mm = MS(['horsepower'])\n",
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"def evalMSE(terms,\n",
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@@ -252,14 +212,7 @@
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"array([24.23151352, 19.24821312, 19.33498406, 19.4244303 , 19.03321527])"
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"array([24.23151352, 19.24821312, 19.33498406, 19.42443031, 19.03321669])"
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"array([24.20766449, 19.18533142, 19.27626666, 19.47848402, 19.13718373])"
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"text/plain": [
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"(np.float64(23.802232661034168), np.float64(1.4218450941091916))"
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"(np.float64(23.80223266103417), np.float64(1.4218450941091905))"
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@@ -839,7 +728,9 @@
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"source": [
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"This process can be generalized to create a simple function `boot_SE()` for\n",
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"computing the bootstrap standard error for arbitrary\n",
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"functions that take only a data frame as an argument."
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"functions that take only a data frame as an argument. We will assume the the `.index` is not used in\n",
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"within `func` besides to index rows, thus we can replace the index with integers. This will avoid\n",
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"issues that arises when an index has duplicate values."
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@@ -865,11 +750,12 @@
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" rng = np.random.default_rng(seed)\n",
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" first_, second_ = 0, 0\n",
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" n = n or D.shape[0]\n",
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" D_int = D.reset_index(drop=True)\n",
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" for _ in range(B):\n",
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" idx = rng.choice(D.index,\n",
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" first_ += value\n",
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" second_ += value**2\n",
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" return np.sqrt(second_ / B - (first_ / B)**2)"
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"intercept 0.731176\n",
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"horsepower 0.006092\n",
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"intercept 0.848807\n",
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"horsepower 0.007352\n",
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"iopub.status.idle": "2026-02-05T00:47:11.995335Z",
|
||||
"shell.execute_reply": "2026-02-05T00:47:11.994822Z"
|
||||
},
|
||||
"lines_to_next_cell": 2
|
||||
},
|
||||
"outputs": [
|
||||
@@ -1198,21 +1047,14 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"id": "acc3e32c",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2026-02-05T00:47:11.996827Z",
|
||||
"iopub.status.busy": "2026-02-05T00:47:11.996698Z",
|
||||
"iopub.status.idle": "2026-02-05T00:47:16.184970Z",
|
||||
"shell.execute_reply": "2026-02-05T00:47:16.184301Z"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"intercept 1.538641\n",
|
||||
"poly(horsepower, degree=2, raw=True)[0] 0.024696\n",
|
||||
"poly(horsepower, degree=2, raw=True)[1] 0.000090\n",
|
||||
"intercept 2.067840\n",
|
||||
"poly(horsepower, degree=2, raw=True)[0] 0.033019\n",
|
||||
"poly(horsepower, degree=2, raw=True)[1] 0.000120\n",
|
||||
"dtype: float64"
|
||||
]
|
||||
},
|
||||
@@ -1242,12 +1084,6 @@
|
||||
"execution_count": 26,
|
||||
"id": "dca5340c",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2026-02-05T00:47:16.186711Z",
|
||||
"iopub.status.busy": "2026-02-05T00:47:16.186585Z",
|
||||
"iopub.status.idle": "2026-02-05T00:47:16.197450Z",
|
||||
"shell.execute_reply": "2026-02-05T00:47:16.197112Z"
|
||||
},
|
||||
"lines_to_next_cell": 0
|
||||
},
|
||||
"outputs": [
|
||||
|
||||
@@ -34,7 +34,7 @@ intent is that building a virtual environment with
|
||||
To install the current version of the requirements run
|
||||
|
||||
```
|
||||
uv pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v2.2.2/requirements.txt;
|
||||
uv pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v2.2.4/requirements.txt;
|
||||
```
|
||||
|
||||
The labs can now be run via:
|
||||
@@ -46,7 +46,7 @@ uv run jupyter lab Ch02-statlearn-lab.ipynb
|
||||
|
||||
# Zip / tarball
|
||||
|
||||
You can download all the labs as a `.zip` or `.tar.gz` [here](https://github.com/intro-stat-learning/ISLP_labs/releases/tag/v2.2.2)
|
||||
You can download all the labs as a `.zip` or `.tar.gz` [here](https://github.com/intro-stat-learning/ISLP_labs/releases/tag/v2.2.4)
|
||||
|
||||
# Setup script
|
||||
|
||||
@@ -87,16 +87,16 @@ curl -LO https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/main/se
|
||||
|
||||
### 2. Run the setup script
|
||||
|
||||
Open your terminal and run the following command to set up the environment for version `v2.2.2` of the labs with Python `3.12`.
|
||||
Open your terminal and run the following command to set up the environment for version `v2.2.4` of the labs with Python `3.12`.
|
||||
|
||||
```
|
||||
uv run python setup_notebook_env.py --outdir ISLP_v2.2.2 --commit v2.2.2 --python-version 3.12
|
||||
uv run python setup_notebook_env.py --outdir ISLP --commit v2.2.4 --python-version 3.12
|
||||
```
|
||||
|
||||
You can also specify one or more notebooks to run automatically after setup.
|
||||
|
||||
* `--outdir ISLP_v2.2.2`: This will create a directory named `ISLP_v2.2.2` for your labs.
|
||||
* `--commit v2.2.2`: This specifies that you want to use version `v2.2.2` of the labs.
|
||||
* `--outdir ISLP`: This will create a directory named `ISLP` for your labs.
|
||||
* `--commit v2.2.4`: This specifies that you want to use version `v2.2.4` of the labs.
|
||||
* `--python-version 3.12`: This will use Python 3.12 for the environment.
|
||||
* `Ch02-statlearn-lab.ipynb`: This is an optional argument to run a specific notebook after the setup is complete. It is meant for testing to be sure given notebooks run but is not required. You can list more than one notebook.
|
||||
|
||||
@@ -106,12 +106,12 @@ Once the script is finished, you can activate the virtual environment to run oth
|
||||
|
||||
* **On macOS and Linux:**
|
||||
```bash
|
||||
source ISLP_v2.2.2/.venv/bin/activate
|
||||
source ISLP/.venv/bin/activate
|
||||
```
|
||||
|
||||
* **On Windows:**
|
||||
```bash
|
||||
ISLP_v2.2.2\.venv\Scripts\activate
|
||||
ISLP\.venv\Scripts\activate
|
||||
```
|
||||
|
||||
### 4. Run other notebooks
|
||||
|
||||
Reference in new issue
Block a user