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make_gaussian_quantiles — scikit-learn 1.7.2 do...
int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)] Gallery...n_samples = 100 , n_features = 2 , n_classes = 3 , shuffle = True...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
AdditiveChi2Sampler — scikit-learn 1.7.2 docume...
sample_steps = 2 , sample_interval = None ) [source]...original space is transformed into 2*sample_steps-1 features, where...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
resample — scikit-learn 1.7.2 documentation
2)> >>> X_sparse . toarray () array([[1., 0.], [2., 1.],...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>> y =...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
PredefinedSplit — scikit-learn 1.7.2 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...index=[1 2 3] Test: index=[0] Fold 1: Train: index=[0 2] Test:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
LarsCV — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_jobs = None , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
TruncatedSVD — scikit-learn 1.7.2 documentation
TruncatedSVD ( n_components = 2 , * , algorithm = 'randomized'...Parameters : n_components int, default=2 Desired dimensionality of output...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
indexable — scikit-learn 1.7.2 documentation
2 , 3 ], np . array ([ 2 , 3 , 4 ]), None ,...indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None, <...Sparse...dtype...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
mean_tweedie_deviance — scikit-learn 1.7.2 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
DecisionBoundaryDisplay — scikit-learn 1.7.2 do...
2) Input data that should be only 2-dimensional....load_iris () >>> feature_1 , feature_2 = np . meshgrid ( ... np . linspace...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
KDTree — scikit-learn 1.7.2 documentation
satisfy leaf_size <= n_points <= 2 * leaf_size , except in the case...standard Euclidean distance when p = 2. A list of valid metrics for KDTree...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html