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Slashdot: News for nerds, stuff that matters
including Tesla founder Elon Musk and Dogecoin creator Billy Markus...slashdot.org/popular -
sklearn.utils.safe_mask — scikit-learn 1.4.2 do...
safe_mask safe_mask sklearn.utils .safe_mask sklearn.utils....sklearn.utils. safe_mask ( X , mask ) [source] Return a mask which is safe...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
sklearn.model_selection.RandomizedSearchCV — sc...
'param_kernel' : masked_array ( data = [ 'rbf' , 'rbf' , 'rbf' ], mask = False...'param_gamma' : masked_array ( data = [ 0.1 0.2 0.3 ], mask = False ),...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
sklearn.feature_selection.SequentialFeatureSele...
dtype=bool 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.SequentialFeatureSelector.html -
sklearn.ensemble.HistGradientBoostingClassifier...
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 -
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 -
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 -
Multiclass Receiver Operating Characteristic (R...
= a_mask [ ab_mask ] b_true = b_mask [ ab_mask ] idx_a = np ....label_b ab_mask = np . logical_or ( a_mask , b_mask ) a_true =...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Semi-supervised Classification on a Text Datase...
# select a mask of 20% of the train dataset y_mask = np . random...the non-masked subset to be unlabeled y_train [ ~ y_mask ] = -...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Plotting Validation Curves — scikit-learn 1.4.2...
y = X [ subset_mask ], y [ subset_mask ] disp = ValidationCurveDispl...( return_X_y = True ) subset_mask = np . isin ( y , [ 1 , 2 ])...scikit-learn.org/stable/auto_examples/model_selection/plot_validation_curve.html