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PredefinedSplit — scikit-learn 1.6.1 documentation
1 , 1 ]) >>> test_fold = [ 0 , 1 , - 1 , 1 ] >>> ps...PredefinedSplit(test_fold=array([ 0, 1, -1, 1])) >>> for i , ( train_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
LassoCV — scikit-learn 1.6.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...alpha * || w || _1 For multi-output tasks it is: ( 1 / ( 2 * n_samples...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
MultiTaskLassoCV — scikit-learn 1.6.1 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...alpha * || w || _1 For multi-output tasks it is: ( 1 / ( 2 * n_samples...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
KDTree — scikit-learn 1.6.1 documentation
query ( X [: 1 ], k = 3 ) >>> print ( ind ) #...indices of 3 closest neighbors [0 3 1] >>> print ( dist ) # distances...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html -
PolynomialCountSketch — scikit-learn 1.6.1 docu...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...Array with random entries in {+1, -1}, used to represent the 2-wise...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
Birch — scikit-learn 1.6.1 documentation
1 ], [ 0.3 , 1 ], [ - 0.3 , 1 ], [ 0 , - 1 ], [ 0.3...predict ( X ) array([0, 0, 0, 1, 1, 1]) fit ( X , y = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
LeavePGroupsOut — scikit-learn 1.6.1 documentation
Test: index=[0 1], group=[1 2] Fold 1: Train: index=[1], group=[2]...array ([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
AffinityPropagation — scikit-learn 1.6.1 docume...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering . predict...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
OutlierMixin — scikit-learn 1.6.1 documentation
fit_predict ( X ) array([1., 1., 1.]) fit_predict ( X , y = None...labels for X. Returns -1 for outliers and 1 for inliers. Parameters...scikit-learn.org/stable/modules/generated/sklearn.base.OutlierMixin.html -
MDS — scikit-learn 1.6.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Added in version 1.2. Changed in version 1.4: The default value...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html