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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 -
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 -
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 -
RFECV — scikit-learn 1.5.0 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.RFECV.html -
SimpleImputer — scikit-learn 1.5.0 documentation
fill_value must be a string. If None , fill_value...array-like, then input_features must match feature_names_in_ if feature_names_in_...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
DictVectorizer — scikit-learn 1.5.0 documentation
X must have been produced by this DictVectorizer’s...Constructor for feature mappings. Must conform to the collections.Mapping...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
HuberRegressor — scikit-learn 1.5.0 documentation
Epsilon must be in the range [1, inf) . max_iter...is equal to alpha * ||w||^2 . Must be in the range [0, inf) . warm_start...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
RANSACRegressor — scikit-learn 1.5.0 documentation
inlier_mask_ bool array of shape [n_samples] Boolean mask of inliers...LinearRegression is used, the user must provide a value. residual_threshold...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html