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StackingClassifier — scikit-learn 1.6.0 documen...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
ExpSineSquared — scikit-learn 1.6.0 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
mean_squared_error — scikit-learn 1.6.0 documen...
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>> y_pred...y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>> mean_squared_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
MDS — scikit-learn 1.6.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Added in version 1.2. Changed in version 1.4: The default value...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
mean_tweedie_deviance — scikit-learn 1.6.0 docu...
power = 1 ) 1.4260... Gallery examples # Tweedie...Either power <= 0 or power >= 1. The higher p the less weight...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
2.4. Biclustering — scikit-learn 1.6.0 document...
array ([ 1 , 2 ]) >>> data [ rows , columns ] array([[ 1, 2], [21,...to find heavy subgraphs. 2.4.1.1. Mathematical formulation # An...scikit-learn.org/stable/modules/biclustering.html -
PartialDependenceDisplay — scikit-learn 1.7.dev...
Added in version 1.1: Add the possibility to pass...shape [ 1 ])] >>> deciles = { 0 : np . linspace ( 0 , 1 , num =...scikit-learn.org/dev/modules/generated/sklearn.inspection.PartialDependenceDisplay.html -
TransformedTargetRegressor — scikit-learn 1.7.d...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/dev/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
permutation_test_score — scikit-learn 1.6.0 doc...
p-value is 1/(n_permutations + 1), the worst is 1.0. Notes This...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
1.9. Naive Bayes — scikit-learn 1.6.0 documenta...
= P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y)) (1 - x_i)\]...that \[P(x_i | y, x_1, \dots, x_{i-1}, x_{i+1}, \dots, x_n) = P(x_i...scikit-learn.org/stable/modules/naive_bayes.html