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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 -
6.4. 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 -
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.feature_selection.RFECV — scikit-learn ...
) 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.RFECV.html -
sklearn.inspection.partial_dependence — scikit-...
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 -
Spectral clustering for image segmentation — sc...
mask = mask ) Take a decreasing function...np . full ( mask . shape , - 1.0 ) label_im [ mask ] = labels...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
Compressive sensing: tomography reconstruction ...
logical_and ( mask > mask . mean (), mask_outer ) return np...list ( w [ mask ]) camera_inds += list ( inds [ mask ] + i * l_x...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
sklearn.impute.SimpleImputer — scikit-learn 1.4...
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 -
sklearn.ensemble.GradientBoostingClassifier — s...
values must be in the range [2, inf) . If float, values must be in...values must be in the range [1, inf) . If float, values must be in...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
Demo of DBSCAN clustering algorithm — scikit-le...
class_member_mask = labels == k xy = X [ class_member_mask & core_samples_mask...X [ class_member_mask & ~ core_samples_mask ] plt . plot ( xy...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html