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hinge_loss — scikit-learn 1.5.2 documentation
([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18...,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
StratifiedShuffleSplit — scikit-learn 1.5.2 doc...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...Test: index=[0 2 3] Fold 2: Train: index=[5 0 2] Test: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
LabelBinarizer — scikit-learn 1.5.2 documentation
2 , 6 , 4 , 2 ]) LabelBinarizer() >>>...array([0, 1, 2]) >>> lb . transform ([ 0 , 1 , 2 , 1 ]) array([[1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
NearestCentroid — scikit-learn 1.5.2 documentation
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
Isomap — scikit-learn 1.5.2 documentation
n_components = 2 , eigen_solver = 'auto' , tol..., metric = 'minkowski' , p = 2 , metric_params = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
OneVsRestClassifier — scikit-learn 1.5.2 docume...
2 , 2 ]) >>> clf = OneVsRestClassifier...9 , 9 ], [ - 5 , 5 ]]) array([2, 0, 1]) decision_function ( X...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html -
KMeans — scikit-learn 1.5.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...cluster_centers_ array([[10., 2.], [ 1., 2.]]) For a more detailed...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
TransformedTargetRegressor — scikit-learn 1.5.2...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
make_classification — scikit-learn 1.5.2 docume...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
ExtraTreesClassifier — scikit-learn 1.5.2 docum...
min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html