Pushing the docs to dev/ for branch: main, commit 51fae9f2d9b3efffd04c67ac2436841b2113a9b8

Author: sklearn-ci

dev/_downloads/02192f99342d6d1323161978b6c80bfc/plot_ols_ridge.zip

@@ -105,7 +105,7 @@
 
 for i in range(cv.n_splits):
     mask = rfecv.cv_results_[f"split{i}_support"][
-        rfecv.n_features_
+        rfecv.n_features_ - 1
     ]  # mask of features selected by the RFE
     features_selected = np.ma.compressed(np.ma.masked_array(feat_names, mask=1 - mask))
     print(f"Features selected in fold {i}: {features_selected}")

dev/_downloads/02fe21a1f5d14bd1ebbe34aa905d9bf6/plot_multilabel.zip

@@ -87,7 +87,7 @@
       },
       "outputs": [],
       "source": [
-        "import numpy as np\n\nfor i in range(cv.n_splits):\n    mask = rfecv.cv_results_[f\"split{i}_support\"][\n        rfecv.n_features_\n    ]  # mask of features selected by the RFE\n    features_selected = np.ma.compressed(np.ma.masked_array(feat_names, mask=1 - mask))\n    print(f\"Features selected in fold {i}: {features_selected}\")"
+        "import numpy as np\n\nfor i in range(cv.n_splits):\n    mask = rfecv.cv_results_[f\"split{i}_support\"][\n        rfecv.n_features_ - 1\n    ]  # mask of features selected by the RFE\n    features_selected = np.ma.compressed(np.ma.masked_array(feat_names, mask=1 - mask))\n    print(f\"Features selected in fold {i}: {features_selected}\")"
       ]
     },
     {