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1.6. Nearest Neighbors — scikit-learn 1.5.0 doc...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...scikit-learn.org/stable/modules/neighbors.html -
resample — scikit-learn 1.5.0 documentation
1 , 1 , 1 , 1 , 1 ] >>> resample ( y , n_samples = 5 , replace...array([[1., 0.], [2., 1.], [1., 0.]]) >>> y array([0, 1, 0]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
PredefinedSplit — scikit-learn 1.5.0 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 -
KDTree — scikit-learn 1.5.0 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 -
MultiTaskLassoCV — scikit-learn 1.5.0 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 -
LeavePGroupsOut — scikit-learn 1.5.0 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 -
OutlierMixin — scikit-learn 1.5.0 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 -
normalize — scikit-learn 1.5.0 documentation
1 , 2 ], [ - 1 , 0 , 1 ]] >>> normalize (...if axis is 0). axis {0, 1}, default=1 Define axis used to normalize...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
LarsCV — scikit-learn 1.5.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also lars_path Compute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
LeaveOneOut — scikit-learn 1.5.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 1 , 2 ]) >>>...0: Train: index=[1] Test: index=[0] Fold 1: Train: index=[0]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html