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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 -
calibration_curve — scikit-learn 1.8.0 document...
1 , 1 , 1 , 1 , 1 ]) >>> y_pred = np . array ([ 0.1 , 0.2...positive class. Added in version 1.1. n_bins int, default=5 Number...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
get_scorer — scikit-learn 1.8.0 documentation
1 , - 1 , - 0.5 , 2 ], ( - 1 , 1 )) >>> y = np...np . array ([ 0 , 1 , 1 , 0 , 1 ]) >>> classifier = DummyClassifier...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.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 -
NuSVC — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
BaggingRegressor — scikit-learn 1.8.0 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...max_samples = None , max_features = 1.0 , bootstrap = True , bootstrap_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
linear_kernel — scikit-learn 1.8.0 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...linear_kernel ( X , Y ) array([[0., 0.], [1., 2.]]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.linear_kernel.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 -
LeaveOneGroupOut — scikit-learn 1.8.0 documenta...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1], group=[1 1] Test:...array ([ 1 , 2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1 , 2 ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
DotProduct — scikit-learn 1.8.0 documentation
1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html