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HistGradientBoostingClassifier — scikit-l...
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 -
SelectFromModel — scikit-learn 1.8.0 docu...
estimator must be a fitted estimator. If False...input_features = None ) [source] # Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
MissingIndicator — scikit-learn 1.8.0 doc...
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 -
SelectFpr — scikit-learn 1.8.0 documentation
input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
Comparing Target Encoder with Other Encoders &#...
all steps must define `fit`. All non-last steps must also define...all steps must define `fit`. All non-last steps must also define...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
HalvingGridSearchCV — scikit-learn 1.8.0 ...
or scoring must be passed. param_grid dict or...max_resources cannot be ‘auto’ and must be set explicitly. max_resources...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
RFECV — scikit-learn 1.8.0 documentation
The support is the mask of selected features. Added...ndarray of shape (n_features,) The mask of selected features. See also...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
SequentialFeatureSelector — scikit-learn ...
dtype=bool The mask of selected features. See also...input_features = None ) [source] # Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
7.4. Imputation of missing values — sciki...
Missing values encoded by 0 must be used with dense input. The...choose the features for which the mask is constructed. By default,...scikit-learn.org/stable/modules/impute.html -
RFE — scikit-learn 1.8.0 documentation
) The mask of selected features. See also...input_features = None ) [source] # Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html