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QuantileTransformer — scikit-learn 1.7.1 docume...
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...normal ( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis =...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
Normalizer — scikit-learn 1.7.1 documentation
4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
randomized_svd — scikit-learn 1.7.1 documentation
er {‘auto’, ‘QR’, ‘LU’, ‘none’}, default=’auto’ Whether the power...array ([[ 1 , 2 , 3 , 5 ], ... [ 3 , 4 , 5 , 6 ], ... [ 7 , 8 , 9...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
power_transform — scikit-learn 1.7.1 documentation
data , method = 'box-cox' )) [[-1.332 -0.707] [ 0.256 -0.707] [ 1.076...symmetry.” Biometrika, 87(4), pp.954-959, (2000). [ 2 ] G.E.P. Box...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
fetch_olivetti_faces — scikit-learn 1.7.1 docum...
encountered. Added in version 1.5. delay float, default=1.0 Number...return_X_y = False , n_retries = 3 , delay = 1.0 ) [source] # Load the...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
plot_tree — scikit-learn 1.7.1 documentation
class name. label {‘all’, ‘root’, ‘none’}, default=’all’ Whether...features. If None, generic names will be used (“x[0]”, “x[1]”, …)....scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html -
scale — scikit-learn 1.7.1 documentation
array([[-1., 1., 1.], [ 1., -1., -1.]]) >>> scale ( X , axis...0.98], [-1.22, 0. , 1.22]]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
parametrize_with_checks — scikit-learn 1.7.1 do...
ks ([ LogisticRegression (), ... DecisionTreeRegresso ()]) ......with scikit-learn. Refer to https://scikit-learn.org/dev/developers/develop.html...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.... -
v_measure_score — scikit-learn 1.7.1 documentation
v_measure_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
roc_curve — scikit-learn 1.7.1 documentation
, 0. , 0.5, 0.5, 1. ]) >>> tpr array([0. , 0.5, 0.5, 1. , 1....1. ]) >>> thresholds array([ inf, 0.8 , 0.4 , 0.35, 0.1 ]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html