Log Message:
py-scikit-learn: updated to 1.2.2

Version 1.2.2

Changelog

sklearn.base
Fix When set_output(transform="pandas"), base.TransformerMixin \ 
maintains the index if the transform output is already a DataFrame.
sklearn.calibration
Fix A deprecation warning is raised when using the base_estimator__ prefix to \ 
set parameters of the estimator used in calibration.CalibratedClassifierCV.
sklearn.cluster
Fix Fixed a bug in cluster.BisectingKMeans, preventing fit to randomly fail due \ 
to a permutation of the labels when running multiple inits.
sklearn.compose
Fix Fixes a bug in compose.ColumnTransformer which now supports empty selection \ 
of columns when set_output(transform="pandas").
sklearn.ensemble
Fix A deprecation warning is raised when using the base_estimator__ prefix to \ 
set parameters of the estimator used in ensemble.AdaBoostClassifier, \ 
ensemble.AdaBoostRegressor, ensemble.BaggingClassifier, and \ 
ensemble.BaggingRegressor.
sklearn.feature_selection
Fix Fixed a regression where a negative tol would not be accepted any more by \ 
feature_selection.SequentialFeatureSelector.
sklearn.inspection
Fix Raise a more informative error message in inspection.partial_dependence when \ 
dealing with mixed data type categories that cannot be sorted by numpy.unique. \ 
This problem usually happen when categories are str and missing values are \ 
present using np.nan.
sklearn.isotonic
Fix Fixes a bug in isotonic.IsotonicRegression where \ 
isotonic.IsotonicRegression.predict would return a pandas DataFrame when the \ 
global configuration sets transform_output="pandas".
sklearn.preprocessing
Fix preprocessing.OneHotEncoder.drop_idx_ now properly references the dropped \ 
category in the categories_ attribute when there are infrequent categories.
Fix preprocessing.OrdinalEncoder now correctly supports encoded_missing_value or \ 
unknown_value set to a categories’ cardinality when there is missing values in \ 
the training data.
sklearn.tree
Fix Fixed a regression in tree.DecisionTreeClassifier, \ 
tree.DecisionTreeRegressor, tree.ExtraTreeClassifier and tree.ExtraTreeRegressor \ 
where an error was no longer raised in version 1.2 when min_sample_split=1.
sklearn.utils
Fix Fixes a bug in utils.check_array which now correctly performs non-finite \ 
validation with the Array API specification.
Fix utils.multiclass.type_of_target can identify pandas nullable data types as \ 
classification targets.