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classification_report — scikit-learn 1.8.0 docu...
50 1.00 0.67 1 class 1 0.00 0.00 0.00 1 class 2 1.00 0.67...>>> y_pred = [ 1 , 1 , 0 ] >>> y_true = [ 1 , 1 , 1 ] >>> print...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
OneClassSVM — scikit-learn 1.8.0 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 -
rand_score — scikit-learn 1.8.0 documentation
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...rand_score ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) 0.83 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
PLSCanonical — scikit-learn 1.8.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
scale — scikit-learn 1.8.0 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>> scale ( X...scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale ( X ,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
roc_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
mean_shift — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...array([[3.33, 6. ], [1.33, 0.66]]) >>> labels array([1, 1, 1, 0, 0, 0])...scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html -
LarsCV — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also lars_path Compute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
det_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
KNeighborsTransformer — scikit-learn 1.8.0 docu...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) set_output...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html