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SelectFdr — scikit-learn 1.6.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
SelectFwe — scikit-learn 1.6.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
LedoitWolf — scikit-learn 1.6.0 documentation
1]. n_features_in_ int Number of...all strings. Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
2.7. Novelty and Outlier Detection — scikit-lea...
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [...Inliers are labeled 1, while outliers are labeled -1. The predict method...scikit-learn.org/stable/modules/outlier_detection.html -
PairwiseKernel — scikit-learn 1.6.0 documentation
PairwiseKernel ( gamma = 1.0 , gamma_bounds = (1e-05, 100000.0)...Parameters : gamma float, default=1.0 Parameter gamma of the pairwise...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.PairwiseKernel.html -
3.4. Metrics and scoring: quantifying the quali...
1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...scikit-learn.org/dev/modules/model_evaluation.html -
Parallel — scikit-learn 1.6.0 documentation
Added in version 1.3. __call__ ( iterable ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
Support — scikit-learn 1.7.dev0 documentation
Resources # This documentation is for 1.7.dev0. Find documentation for...scikit-learn.org/dev/support.html -
RadiusNeighborsRegressor — scikit-learn 1.6.0 d...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...[[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>> from...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
OneClassSVM — scikit-learn 1.6.0 documentation
predict ( X ) array([-1, 1, 1, 1, -1]) >>> clf . score_samples...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html