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sklearn.gaussian_process.GaussianProcessClassif...
it must have the signature: def optimizer...If greater than 0, all bounds must be finite. Note that n_restarts_optimizer=0...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
sklearn.preprocessing.label_binarize — scikit-l...
Value with which negative labels must be encoded. pos_label int, default=1...Value with which positive labels must be encoded. sparse_output bool,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.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 -
sklearn.metrics.roc_auc_score — scikit-learn 1....
The probability estimates must sum to 1 across the possible...the order of the class scores must correspond to the order of labels...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
Elastic Jira connector reference | Enterprise S...
the account you created must be granted Product Access for...are not synced by default. You must first enable DLS . Otherwise,...www.elastic.co/guide/en/enterprise-search/current/connectors-jira.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 -
sklearn.mixture.BayesianGaussianMixture — sciki...
Must be one of: 'full' ( each component...and the covariances. String must be one of: ‘kmeans’ : responsibilities...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.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 -
sklearn.metrics.DistanceMetric — scikit-learn 1...
the distance must be a true metric: i.e. it must satisfy the following...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html