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SelectFdr — scikit-learn 1.6.1 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
SelectFwe — scikit-learn 1.6.1 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
davies_bouldin_score — scikit-learn 1.6.1 docum...
1 ], [ 1 , 1 ], [ 3 , 4 ]] >>> labels = [ 0 , 0 , 1 ] >>>...Davies-Bouldin score. References [ 1 ] Davies, David L.; Bouldin, Donald...scikit-learn.org/stable/modules/generated/sklearn.metrics.davies_bouldin_score.html -
pairwise_distances_chunked — scikit-learn 1.6.1...
means 1 unless in a joblib.parallel_backend context. -1 means...D_chunk < r )) . mean ( axis = 1 ) ... return neigh , avg_dist...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
Manifold Learning methods on a severed sphere —...
77 sec modified: 1.2 sec ISO: 0.19 sec MDS: 0.81...trans_data [ 0 ], trans_data [ 1 ], c = colors , cmap = plt . cm...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
make_sparse_uncorrelated — scikit-learn 1.6.1 d...
described in Celeux et al [1]. as: X ~ N ( 0 , 1 ) y ( X ) = X [:, 0...0 ] + 2 * X [:, 1 ] - 2 * X [:, 2 ] - 1.5 * X [:, 3 ] Only the...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html -
load_svmlight_files — scikit-learn 1.6.1 docume...
shape[1] == X_test.shape[1]). This may not be the...query_id=False , offset=0 , length=-1 ) [source] # Load dataset from...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html -
Isotonic Regression — scikit-learn 1.6.1 docume...
An illustration of the isotonic regression on generated data (non-linear monotonic trend with homoscedastic uniform noise). The isotonic regression algorithm finds a non-decreasing approximation of...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Model Selection — scikit-learn 1.6.1 documentation
Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...scikit-learn.org/stable/auto_examples/model_selection/index.html -
inplace_column_scale — scikit-learn 1.6.1 docum...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html