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Matern — scikit-learn 1.8.0 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>> gpc...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
ndcg_score — scikit-learn 1.8.0 documentation
1.1 , 1. , .5 , .0 ]]) >>> ndcg_score...scores = np . asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by default ties...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
VotingRegressor — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...KNeighborsRegressor () >>> X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
PassiveAggressiveRegressor — scikit-learn 1.8.0...
deprecated in version 1.8 and will be removed in 1.10. Instead use:...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
chi2_kernel — scikit-learn 1.8.0 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...chi2_kernel ( X , Y = None , gamma = 1.0 ) [source] # Compute the exponential...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html -
LassoLarsCV — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...optimization objective for Lasso is: ( 1 / ( 2 * n_samples )) * || y -...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
mutual_info_score — scikit-learn 1.8.0 document...
1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0 , 0...as: \[MI(U,V)=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \frac{|U_i\cap...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
PatchExtractor — scikit-learn 1.8.0 documentation
1), it is taken to mean a proportion...load_sample_images () . images [ 1 ] >>> X = X [ None , ... ] >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html -
PolynomialFeatures — scikit-learn 1.8.0 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 -
ValidationCurveDisplay — scikit-learn 1.8.0 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html