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train_test_split — scikit-learn 1.5.0 documenta...
scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Release...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
gen_even_slices — scikit-learn 1.5.0 documentation
1, None), slice(1, 2, None), ..., slice(9,...list ( gen_even_slices ( 10 , 1 )) [slice(0, 10, None)] >>> list...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
make_sparse_spd_matrix — scikit-learn 1.5.0 doc...
array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0.,...elements all 1. smallest_coef float, default=0.1 The value of...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
defined by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
root_mean_squared_error — scikit-learn 1.5.0 do...
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>> y_pred...User Guide . Added in version 1.4. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
make_low_rank_matrix — scikit-learn 1.5.0 docum...
profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Release...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
1.4. Support Vector Machines — scikit-learn 1.5...
“0 vs 1”, “0 vs 2” , … “0 vs n”, “1 vs 2”, “1 vs 3”, “1 vs n”,...vectors \(v^{0}_1, v^{1}_1\) and \(v^{0}_2, v^{1}_2\) respectively....scikit-learn.org/stable/modules/svm.html -
1.1. Linear Models — scikit-learn 1.5.0 documen...
1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02,...) . 1.1.2. Ridge regression and classification # 1.1.2.1. Regression...scikit-learn.org/stable/modules/linear_model.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