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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 -
Slashdot: News for nerds, stuff that matters
particles and fumes into the masks worn by patients. It could be...Food and Drug Administration -- must be met first. The move by a...devices.slashdot.org -
Flowfields | Emil Dziewanowski - Technical Artist
It must be created before the animation...involves using a point grid mask to mimic pigment dissolving...emildziewanowski.com/flowfields/ -
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.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 -
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 -
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 -
sklearn.feature_extraction.DictVectorizer — sci...
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 -
sklearn.linear_model.RANSACRegressor — scikit-l...
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 -
sklearn.linear_model.SGDClassifier — scikit-lea...
Values must be in the range [0.0, inf) ....penalty is ‘elasticnet’. Values must be in the range [0.0, 1.0] ....scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html