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kmeans_plusplus — scikit-learn 1.7.1 documentation
np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ],...centers array([[10, 2], [ 1, 0]]) >>> indices array([3, 2]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
column_or_1d — scikit-learn 1.7.1 documentation
>>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...ion. column_or_1d ( y , * , dtype = None , warn = False , device...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
enable_halving_search_cv — scikit-learn 1.7.1 d...
Ctrl + K GitHub Choose version enable_halving_search_cv # Enables...sklearn.experimental import enable_halving_search_cv # noqa >>>...scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_halving_search_cv.html -
GraphicalLassoCV — scikit-learn 1.7.1 documenta...
n_refinements = 4 , cv = None , tol = 0.0001 , enet_tol = 0.0001 , max_iter...mode=’cd’. Range is (0, inf]. max_iter int, default=100 Maximum...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
OAS — scikit-learn 1.7.1 documentation
estimation.”, Chen, Y., Wiesel, A., Eldar, Y. C., & Hero, A. O. IEEE...array([[ 1.7833, -1.2431 ], [-1.2431, 3.3889]]) >>> oas . shrinkage_...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
GaussianRandomProjection — scikit-learn 1.7.1 d...
n_components = 'auto' , * , eps = 0.1 , compute_inverse_components = False...out are: ["class_name0", "class_name1", "class_name2"] . Parameters...scikit-learn.org/stable/modules/generated/sklearn.random_projection.GaussianRandomProjection.html -
PredefinedSplit — scikit-learn 1.7.1 documentation
enumerate ( ps . split ()): ... print ( f "Fold { i } :" ) ... print...np . array ([ 0 , 0 , 1 , 1 ]) >>> test_fold = [ 0 , 1 , - 1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
make_sparse_uncorrelated — scikit-learn 1.7.1 d...
~ N ( 0 , 1 ) y ( X ) = X [:, 0 ] + 2 * X [:, 1 ] - 2 * X [:,...X . shape (100, 10) >>> y . shape (100,) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html -
inplace_csr_row_normalize_l1 — scikit-learn 1.7...
0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...= ( 3 , 4 )) >>> X . toarray () array([[1., 2., 0., 0.], [0.,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
Comparison of kernel ridge regression and SVR —...
"alpha" : [ 1e0 , 0.1 , 1e-2 , 1e-3 ], "gamma" : np . logspace ( -...5 ] += 3 * ( 0.5 - rng . rand ( X . shape [ 0 ] // 5 )) X_plot...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html