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Mar 21, 2025
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DOC make SLEP007 a more prominent #31037

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3 changes: 2 additions & 1 deletion doc/whats_new/v1.0.rst
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Expand Up @@ -419,7 +419,8 @@ Changelog

- |API| All estimators store `feature_names_in_` when fitted on pandas Dataframes.
These feature names are compared to names seen in non-`fit` methods, e.g.
`transform` and will raise a `FutureWarning` if they are not consistent.
`transform` and will raise a `FutureWarning` if they are not consistent, see also
:ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py`.
These ``FutureWarning`` s will become ``ValueError`` s in 1.2. :pr:`18010` by
`Thomas Fan`_.

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4 changes: 3 additions & 1 deletion examples/release_highlights/plot_release_highlights_1_0_0.py
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Expand Up @@ -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
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8 changes: 5 additions & 3 deletions examples/release_highlights/plot_release_highlights_1_1_0.py
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Expand Up @@ -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
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