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Kernel PCA — scikit-learn 1.8.0 documentation
1 ], c = y_train ) train_ax . set_ylabel ( "Feature #1" )...( X_test [:, 0 ], X_test [:, 1 ], c = y_test ) test_ax . set_xlabel...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.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 -
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 -
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 -
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 -
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 -
Binarizer — scikit-learn 1.8.0 documentation
( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.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 -
QuadraticDiscriminantAnalysis — scikit-learn 1....
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
ParameterGrid — scikit-learn 1.8.0 documentation
[{ 'a' : 1 , 'b' : True }, { 'a' : 1 , 'b' : False },...( grid )[ 1 ] == { 'kernel' : 'rbf' , 'gamma' : 1 } True On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html