Pushing the docs to dev/ for branch: main, commit 1eff92be756f6d0e99807a5b9b4ee6a292523b52

Author: sklearn-ci

dev/_downloads/02192f99342d6d1323161978b6c80bfc/plot_ols_ridge.zip

@@ -1,4 +1,4 @@
-# ruff: noqa: CPY001, E501
+# ruff: noqa: CPY001
 """
 =======================================
 Release Highlights for scikit-learn 1.1

dev/_downloads/02fe21a1f5d14bd1ebbe34aa905d9bf6/plot_multilabel.zip

@@ -110,6 +110,6 @@
     features_selected = np.ma.compressed(np.ma.masked_array(feat_names, mask=1 - mask))
     print(f"Features selected in fold {i}: {features_selected}")
 # %%
-# In the five folds, the selected features are consistant. This is good news,
-# it means that the selection is stable accross folds, and it confirms that
+# In the five folds, the selected features are consistent. This is good news,
+# it means that the selection is stable across folds, and it confirms that
 # these features are the most informative ones.

dev/_downloads/0358b1921962fd7c6f5a94c5abc91476/plot_hashing_vs_dict_vectorizer.zip

@@ -94,7 +94,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "In the five folds, the selected features are consistant. This is good news,\nit means that the selection is stable accross folds, and it confirms that\nthese features are the most informative ones.\n\n"
+        "In the five folds, the selected features are consistent. This is good news,\nit means that the selection is stable across folds, and it confirms that\nthese features are the most informative ones.\n\n"
       ]
     }
   ],