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kneighbors_graph — scikit-learn 1.7.1 documenta...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) Gallery...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html -
1.10. Decision Trees — scikit-learn 1.7.1 docum...
1 , 2 , 3 ]) . reshape ( - 1 , 1 ) >>> y = [ 0 , 1 , 1 , 1.... nan , - 1 , np . nan , 1 ]) . reshape ( - 1 , 1 ) >>> y = [...scikit-learn.org/stable/modules/tree.html -
7.7. Kernel Approximation — scikit-learn 1.7.1 ...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...\Lambda^{-1} U_1^T K_{21}^T \\&= K_{21} U_1 \Lambda^{-1} U_1^T K_{21}^T...scikit-learn.org/stable/modules/kernel_approximation.html -
LassoLarsCV — scikit-learn 1.7.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...optimization objective for Lasso is: ( 1 / ( 2 * n_samples )) * || y -...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
1.6. Nearest Neighbors — scikit-learn 1.7.1 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 -
ExpSineSquared — scikit-learn 1.7.1 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
chi2 — scikit-learn 1.7.1 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>> chi2_stats , p_values...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
PLSRegression — scikit-learn 1.7.1 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
affinity_propagation — scikit-learn 1.7.1 docum...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...>>> labels array([0, 0, 0, 1, 1, 1]) Gallery examples # Visualizing...scikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html -
LatentDirichletAllocation — scikit-learn 1.7.1 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...None, defaults to 1 / n_components . In [1] , this is called...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html