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Removes boston dataset (#114)
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* remove boston

* lint
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@sdpython
sdpython committed Dec 9, 2022
1 parent b2239e1 commit 0109aee
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10 changes: 5 additions & 5 deletions _doc/notebooks/notebook_eleves/2018-2019/2018-10-09_ensemble_gradient_boosting.ipynb
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224 changes: 67 additions & 157 deletions _doc/notebooks/sklearn_ensae_course/04_supervised_regression.ipynb
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63 changes: 27 additions & 36 deletions _doc/notebooks/sklearn_ensae_course/05_measuring_prediction_performance.ipynb
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285 changes: 126 additions & 159 deletions _doc/notebooks/td2a_ml/ml_lasso_rf_grid_search_correction.ipynb
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8 changes: 4 additions & 4 deletions _doc/notebooks/td2a_ml/ml_lasso_rf_grid_search_enonce.ipynb
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Expand Up @@ -174,9 +174,9 @@
"metadata": {},
"outputs": [],
"source": [
"from sklearn.datasets import load_boston\n",
"from sklearn.datasets import load_diabetes\n",
"from sklearn.model_selection import train_test_split\n",
"data = load_boston()\n",
"data = load_diabetes()\n",
"X, y = data.data, data.target\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y)"
]
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],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -241,7 +241,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
"version": "3.10.5"
}
},
"nbformat": 4,
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10 changes: 5 additions & 5 deletions _doc/notebooks/td2a_ml/td2a_pipeline_tree_selection_correction.ipynb
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Expand Up @@ -167,7 +167,7 @@
"source": [
"## Datasets\n",
"\n",
"Comme il faut toujours des donn\u00e9es, on prend ce jeu [Boston](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html)."
"Comme il faut toujours des donn\u00e9es, on prend ce jeu [Diabetes](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html)."
]
},
{
Expand All @@ -176,8 +176,8 @@
"metadata": {},
"outputs": [],
"source": [
"from sklearn.datasets import load_boston\n",
"data = load_boston()\n",
"from sklearn.datasets import load_diabetes\n",
"data = load_diabetes()\n",
"X, y = data.data, data.target"
]
},
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],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -986,7 +986,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
"version": "3.10.5"
}
},
"nbformat": 4,
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55 changes: 29 additions & 26 deletions _doc/notebooks/td2a_ml/td2a_pipeline_tree_selection_enonce.ipynb
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Expand Up @@ -167,7 +167,7 @@
"source": [
"## Datasets\n",
"\n",
"Comme il faut toujours des donn\u00e9es, on prend ce jeu [Boston](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html)."
"Comme il faut toujours des donn\u00e9es, on prend ce jeu [Diabetes](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html)."
]
},
{
Expand All @@ -176,8 +176,8 @@
"metadata": {},
"outputs": [],
"source": [
"from sklearn.datasets import load_boston\n",
"data = load_boston()\n",
"from sklearn.datasets import load_diabetes\n",
"data = load_diabetes()\n",
"X, y = data.data, data.target"
]
},
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"execution_count": 6,
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"outputs": [
{
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"Pipeline(memory=None, steps=[('name', 'passthrough')], verbose=False)"
"Pipeline(steps=[('name', 'passthrough')])"
]
},
"execution_count": 9,
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],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
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"language": "python",
"name": "python3"
},
Expand All @@ -412,7 +415,7 @@
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"pygments_lexer": "ipython3",
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}
},
"nbformat": 4,
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