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SelectKBest — scikit-learn 1.5.0 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.SelectKBest.html -
GenericUnivariateSelect — scikit-learn 1.5.0 do...
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.GenericUnivariateSelect.html -
SelectFromModel — scikit-learn 1.5.0 documentation
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 -
Tweedie regression on insurance claims — scikit...
GammaRegressor mask_train = df_train [ "ClaimAmount" ] > 0 mask_test =...X_train [ mask_train . values ], df_train . loc [ mask_train ,...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
HistGradientBoostingClassifier — scikit-learn 1...
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 -
6.4. Imputation of missing values — scikit-lear...
>>> mask_all = indicator . fit_transform ( X ) >>> mask_all array([[...Missing values encoded by 0 must be used with dense input. The...scikit-learn.org/stable/modules/impute.html -
partial_dependence — scikit-learn 1.5.0 documen...
boolean array-like: boolean mask of shape (n_features,) indicating...extreme values for the grid. Must be in [0, 1]. grid_resolution...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.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 -
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 -
ColumnTransformer — scikit-learn 1.5.0 document...
‘passthrough’} or estimator Estimator must support fit and transform ....remainder estimator. The estimator must support fit and transform ....scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html