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chi2 — scikit-learn 1.7.1 documentation
1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0 , 0 , 0 ]])...np . array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 ,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
cross_val_score — scikit-learn 1.7.1 documentation
instead. E.g.: cross_val_score(..., params={'groups': groups})...print ( cross_val_score ( lasso , X , y , cv = 3 )) [0.3315057...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
MinCovDet — scikit-learn 1.7.1 documentation
real_cov = np . array ([[ .8 , .3 ], ... [ .3 , .4 ]]) >>> rng =...>>> cov . covariance_ array([[0.7411, 0.2535], [0.2535, 0.3053]])...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
SelectKBest — scikit-learn 1.7.1 documentation
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...tasks. Added in version 0.18. k int or “all”, default=10 Number...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
about.rst.txt
utors>`__. Active Core Contributors ---------- Maintainers Team...<contributing>`. Documentation Team .......... The following people...scikit-learn.org/stable/_sources/about.rst.txt -
plot_multi_metric_evaluation.rst.txt
for sample, style in (("train", "--"), ("test", "-")): sample_score_mean...plt.ylabel("Score") ax = plt.gca() ax.set_xlim(0, 402) ax.set_ylim(0.73,...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
make_s_curve — scikit-learn 1.7.1 documentation
X . shape (100, 3) >>> t . shape (100,) Gallery examples # Comparison...sklearn.datasets. make_s_curve ( n_samples = 100 , * , noise = 0.0 , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html -
make_regression — scikit-learn 1.7.1 documentation
[-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579, 0.7674]]) >>> y...42 ) >>> X array([[ 0.4967, -0.1382 ], [ 0.6476, 1.523], [-0.2341,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
load_digits — scikit-learn 1.7.1 documentation
load_digits () >>> print ( digits . data . shape ) (1797, 64) >>> import...cmap = "gray" ) <...> >>> plt . show () Gallery examples # Recognizing...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html -
DummyRegressor — scikit-learn 1.7.1 documentation
X = np . array ([ 1.0 , 2.0 , 3.0 , 4.0 ]) >>> y = np . array...array ([ 2.0 , 3.0 , 5.0 , 10.0 ]) >>> dummy_regr = DummyRegressor...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html