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sklearn.feature_selection.SequentialFeatureSele...
dtype=bool The mask of selected features. See also...get_feature_names_out ([input_features]) Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
sklearn.feature_selection.SelectFwe — scikit-le...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
sklearn.feature_selection.VarianceThreshold — s...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html -
sklearn.feature_selection.SelectPercentile — sc...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
sklearn.feature_selection.SelectFdr — scikit-le...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
sklearn.ensemble.HistGradientBoostingClassifier...
Must be strictly greater than 1....reserved for missing values. Must be no larger than 255. categorical_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
sklearn.impute.MissingIndicator — scikit-learn ...
default=’missing-only’ Whether the imputer mask should represent all or a subset...'missing-only' (default), the imputer mask will only represent features...scikit-learn.org/stable/modules/generated/sklearn.impute.MissingIndicator.html -
6.1. Pipelines and composite estimators — sciki...
must be transformers (i.e. must have a transform...integer array, a slice, a boolean mask, or with a make_column_selector...scikit-learn.org/stable/modules/compose.html -
sklearn.covariance.MinCovDet — scikit-learn 1.4...
The parameter must be in the range (0, 1]. random_state...ndarray of shape (n_samples,) A mask of the observations that have...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
glossary.rst.txt
and that we must be careful to make :term:`meta-estimators`...data. Intrinsically, the model must be usable for prediction after...scikit-learn.org/stable/_sources/glossary.rst.txt