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check_scoring — scikit-learn 1.7.2 documentation
Added in version 1.6. Returns : scoring callable...return_X_y = True ) >>> y *= - 1 >>> clf = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
PolynomialFeatures — scikit-learn 1.7.2 documen...
fit_transform ( X ) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6.,...) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
1.11. Ensembles: Gradient boosting, random fore...
Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...scikit-learn.org/stable/modules/ensemble.html -
RepeatedKFold — scikit-learn 1.7.2 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
chi2 — scikit-learn 1.7.2 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>> chi2_stats , p_values...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
RBFSampler — scikit-learn 1.7.2 documentation
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...in version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
get_tags — scikit-learn 1.7.2 documentation
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.get_tags.html -
Model Complexity Influence — scikit-learn 1.7.2...
"tol" : 1e-1 , "n_iter_no_change" : 2 , },..."changing_param_values" : [ 0.05 , 0.1 , 0.2 , 0.35 , 0.5 ], "complexity_label"...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
fast_logdet — scikit-learn 1.7.2 documentation
1 ], [ 2 , 8 ]]) >>> fast_logdet...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
Time-related feature engineering — scikit-learn...
spring 0 1 0 False 6 False clear 9.84 14.395 0.81 0.0000 1 spring...spring 0 1 1 False 6 False clear 9.02 13.635 0.80 0.0000 2 spring...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html