Pushing the docs to dev/ for branch: main, commit 225b1e3827b31dc7350d5446a12f7e37cd37b7f3

Author: sklearn-ci

dev/_downloads/02192f99342d6d1323161978b6c80bfc/plot_ols_ridge.zip

@@ -60,9 +60,11 @@
 # %%
 # `get_feature_names_out` Available in all Transformers
 # -----------------------------------------------------
-# :term:`get_feature_names_out` is now available in all Transformers. This enables
-# :class:`~pipeline.Pipeline` to construct the output feature names for more complex
-# pipelines:
+# :term:`get_feature_names_out` is now available in all transformers, thereby
+# concluding the implementation of
+# `SLEP007 <https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep007/proposal.html>`__.
+# This enables :class:`~pipeline.Pipeline` to construct the output feature names for
+# more complex pipelines:
 from sklearn.compose import ColumnTransformer
 from sklearn.preprocessing import OneHotEncoder, StandardScaler
 from sklearn.pipeline import make_pipeline

dev/_downloads/02fe21a1f5d14bd1ebbe34aa905d9bf6/plot_multilabel.zip

@@ -36,7 +36,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## `get_feature_names_out` Available in all Transformers\n:term:`get_feature_names_out` is now available in all Transformers. This enables\n:class:`~pipeline.Pipeline` to construct the output feature names for more complex\npipelines:\n\n"
+        "## `get_feature_names_out` Available in all Transformers\n:term:`get_feature_names_out` is now available in all transformers, thereby\nconcluding the implementation of\n[SLEP007](https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep007/proposal.html)_.\nThis enables :class:`~pipeline.Pipeline` to construct the output feature names for\nmore complex pipelines:\n\n"
       ]
     },
     {

dev/_downloads/0358b1921962fd7c6f5a94c5abc91476/plot_hashing_vs_dict_vectorizer.zip

@@ -140,7 +140,9 @@
 # When an estimator is passed a `pandas' dataframe
 # <https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe>`_ during
 # :term:`fit`, the estimator will set a `feature_names_in_` attribute
-# containing the feature names. Note that feature names support is only enabled
+# containing the feature names. This is a part of
+# `SLEP007 <https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep007/proposal.html>`__.
+# Note that feature names support is only enabled
 # when the column names in the dataframe are all strings. `feature_names_in_`
 # is used to check that the column names of the dataframe passed in
 # non-:term:`fit`, such as :term:`predict`, are consistent with features in

dev/_downloads/038d1885eb5f5ea53aca42da3031fe38/plot_document_clustering.zip

@@ -43,7 +43,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Feature Names Support\nWhen an estimator is passed a [pandas' dataframe](https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe) during\n:term:`fit`, the estimator will set a `feature_names_in_` attribute\ncontaining the feature names. Note that feature names support is only enabled\nwhen the column names in the dataframe are all strings. `feature_names_in_`\nis used to check that the column names of the dataframe passed in\nnon-:term:`fit`, such as :term:`predict`, are consistent with features in\n:term:`fit`:\n\n"
+        "## Feature Names Support\nWhen an estimator is passed a [pandas' dataframe](https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe) during\n:term:`fit`, the estimator will set a `feature_names_in_` attribute\ncontaining the feature names. This is a part of\n[SLEP007](https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep007/proposal.html)_.\nNote that feature names support is only enabled\nwhen the column names in the dataframe are all strings. `feature_names_in_`\nis used to check that the column names of the dataframe passed in\nnon-:term:`fit`, such as :term:`predict`, are consistent with features in\n:term:`fit`:\n\n"
       ]
     },
     {