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fix conflict in README

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This commit is contained in:
Jonathan Taylor
2023-08-06 11:44:08 -07:00
parent ca12db6546 0614cb89dd
commit dc35f729e1
16 changed files with 9733 additions and 8511 deletions
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Ch10-deeplearning-lab.ipynb
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Ch11-surv-lab.ipynb
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@@ -34,10 +34,10 @@
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@@ -64,10 +64,10 @@
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@@ -97,10 +97,10 @@
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@@ -135,10 +135,10 @@
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@@ -166,10 +166,10 @@
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@@ -199,10 +199,10 @@
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@@ -255,10 +255,10 @@
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@@ -321,10 +321,10 @@
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@@ -366,10 +366,10 @@
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@@ -479,10 +479,10 @@
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@@ -572,10 +572,10 @@
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@@ -678,10 +678,10 @@
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@@ -826,10 +826,10 @@
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@@ -859,10 +859,10 @@
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@@ -987,10 +987,10 @@
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@@ -1129,10 +1129,10 @@
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@@ -1290,10 +1290,10 @@
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@@ -1333,10 +1333,10 @@
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@@ -1378,10 +1378,10 @@
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@@ -1467,10 +1467,10 @@
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@@ -1611,10 +1611,10 @@
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@@ -1649,10 +1649,10 @@
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@@ -1793,10 +1793,10 @@
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@@ -1840,10 +1840,10 @@
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@@ -2008,10 +2008,10 @@
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@@ -2716,7 +2716,7 @@
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520
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250
Ch13-multiple-lab.ipynb
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@@ -26,10 +26,10 @@
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@@ -56,10 +56,10 @@
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@@ -95,10 +95,10 @@
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@@ -125,10 +125,10 @@
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@@ -172,10 +172,10 @@
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@@ -208,10 +208,10 @@
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@@ -308,10 +308,10 @@
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@@ -420,10 +420,10 @@
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@@ -476,10 +476,10 @@
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@@ -544,10 +544,10 @@
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@@ -583,10 +583,10 @@
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@@ -625,10 +625,10 @@
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@@ -664,10 +664,10 @@
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@@ -708,10 +708,10 @@
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@@ -760,10 +760,10 @@
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@@ -820,10 +820,10 @@
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@@ -861,10 +861,10 @@
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@@ -890,10 +890,10 @@
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@@ -935,10 +935,10 @@
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@@ -29,10 +29,10 @@
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@@ -207,10 +207,10 @@
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@@ -250,10 +250,10 @@
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@@ -294,10 +294,10 @@
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@@ -544,10 +544,10 @@
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} }
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"outputs": [ "outputs": [
@@ -727,10 +727,10 @@
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} }
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@@ -800,10 +800,10 @@
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@@ -843,10 +843,10 @@
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@@ -888,10 +888,10 @@
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@@ -954,10 +954,10 @@
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@@ -989,10 +989,10 @@
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@@ -1022,10 +1022,10 @@
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@@ -1073,10 +1073,10 @@
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@@ -1123,10 +1123,10 @@
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@@ -1195,10 +1195,10 @@
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@@ -1238,10 +1238,10 @@
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@@ -1292,7 +1292,7 @@
"name": "python", "name": "python",
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@@ -28,10 +28,10 @@
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@@ -58,10 +58,10 @@
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@@ -86,10 +86,10 @@
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@@ -126,10 +126,10 @@
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@@ -171,10 +171,10 @@
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@@ -182,7 +182,7 @@
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See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=10, kernel=&#x27;linear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(C=10, kernel=&#x27;linear&#x27;)</pre></div></div></div></div></div>" "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. 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@@ -1794,10 +1794,10 @@
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@@ -1913,7 +1913,7 @@
"name": "python", "name": "python",
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16
README.md
View File

@@ -1,5 +1,8 @@
# ISLP_labs # ISLP_labs
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/intro-stat-learning/ISLP_labs/v2_devel)
Up-to-date version of labs for ISLP. Up-to-date version of labs for ISLP.
This repo will track labs for ISLP as their source code changes. The This repo will track labs for ISLP as their source code changes. The
@@ -7,10 +10,15 @@ intent is that building a conda environment with
`frozen_requirements.txt` and `torch_requirements.txt` will reproduce `frozen_requirements.txt` and `torch_requirements.txt` will reproduce
the results in this repo. the results in this repo.
To install the `v1` version of the requirements run To install the `v2` version of the requirements run
``` ```
pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v1/frozen_requirements.txt; pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v2/requirements.txt;
pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP_labs/v1/torch_requirements.txt;.
pip install ISLP==0.3.17;
``` ```
The labs can now be run from this directory:
```
jupyter lab Ch2-statlearning-lab.ipynb
```

11
frozen_requirements.txt
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@@ -1,11 +0,0 @@
numpy==1.21.6
scipy==1.10.1
pandas==1.4.1
lxml==4.8.0
scikit-learn==1.2.2
joblib==1.2.0
statsmodels==0.13.2
lifelines==0.27.6
pygam==0.8.0
l0bnb==1.0.0

16
requirements.txt Normal file
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numpy==1.24.2
scipy==1.11.1
pandas==1.5.3
lxml==4.9.3
scikit-learn==1.3.0
joblib==1.3.1
statsmodels==0.14.0
lifelines==0.27.7
pygam==0.9.0
l0bnb==1.0.0
torch==2.0.1
torchvision==0.15.2
pytorch-lightning==2.0.6
torchinfo==1.8.0
torchmetrics==1.0.1
ISLP==0.3.18

5
torch_requirements.txt
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@@ -1,5 +0,0 @@
torch==2.0.0
torchvision==0.15.1
pytorch_lightning==1.7.7
torchinfo==1.7.2
torchmetrics==0.9.3