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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 -
coverage_error — scikit-learn 1.8.0 documentation
y_true = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score = [[ 1 , 0 , 0...[ 0 , 1 , 1 ]] >>> coverage_error ( y_true , y_score ) 1.5 On...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
additive_chi2_kernel — scikit-learn 1.8.0 docum...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...additive_chi2_kernel ( X , Y ) array([[-1., -2.], [-2., -1.]]) On this page This...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html -
make_friedman1 — scikit-learn 1.8.0 documentation
Annals of Statistics 19 (1), pages 1-67, 1991. [ 2 ] L. Breiman,...[source] # Generate the “Friedman #1” regression problem. This dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.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 -
r2_score — scikit-learn 1.8.0 documentation
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : z float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
RadiusNeighborsRegressor — scikit-learn 1.8.0 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 -
SVC — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
MultiLabelBinarizer — scikit-learn 1.8.0 docume...
fit_transform ([( 1 , 2 ), ( 3 ,)]) array([[1, 1, 0], [0, 0, 1]]) >>> mlb...{ 'comedy' }]) array([[0, 1, 1], [1, 0, 0]]) >>> list ( mlb ....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
MeanShift — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ....scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html