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sklearn.linear_model.HuberRegressor — scikit-le...
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 -
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 -
sklearn.inspection.PartialDependenceDisplay — s...
Each tuple must be of size 2. If any entry is...is a string, then it must be in feature_names . sample_weight...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.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 -
Robust linear model estimation using RANSAC — s...
) inlier_mask = ransac . inlier_mask_ outlier_mask = np . logical_not...scatter ( X [ inlier_mask ], y [ inlier_mask ], color = "yellowgreen"...scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html -
4.1. Partial Dependence and Individual Conditio...
of input features of interest must be small (usually, one or two)...categorical features or a boolean mask. The graphical representation...scikit-learn.org/stable/modules/partial_dependence.html -
Kernel Density Estimate of Species Distribution...
:: 5 ] land_mask = ( land_reference > - 9999...ravel ()]) . T xy = xy [ land_mask ] xy *= np . pi / 180.0 # Plot...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
Pixel importances with a parallel forest of tre...
mask = y < 5 X = X [ mask ] y = y [ mask ] A random...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances_faces.html -
sklearn.feature_extraction.image.grid_to_graph ...
mask = mask ) >>> print ( graph ) (0,...grid_to_graph ( n_x , n_y , n_z=1 , * , mask=None , return_as=<class 'sc...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html