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KernelPCA — scikit-learn 1.8.0 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
make_union — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...v0.20: n_jobs default changed from 1 to None. verbose bool, default=False...scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html -
BayesianRidge — scikit-learn 1.8.0 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) BayesianRidge()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
ExtraTreeRegressor — scikit-learn 1.8.0 documen...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...max_features=n_features . Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
Displaying Pipelines — scikit-learn 1.8.0 docum...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The "balanced" mode uses...scikit-learn.org/stable/auto_examples/miscellaneous/plot_pipeline_display.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 -
pairwise_distances_chunked — scikit-learn...
means 1 unless in a joblib.parallel_backend context. -1 means...D_chunk < r )) . mean ( axis = 1 ) ... return neigh , avg_dist...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.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 -
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 -
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