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learning_curve — scikit-learn 1.8.0 documentation
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
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 -
SelectFromModel — scikit-learn 1.8.0 documentation
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
HuberRegressor — scikit-learn 1.8.0 documentation
epsilon = 1.35 , max_iter = 100 , alpha =...Parameters : epsilon float, default=1.35 The parameter epsilon controls...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
AdaBoostRegressor — scikit-learn 1.8.0 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.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 -
extract_patches_2d — scikit-learn 1.8.0 documen...
max_patches is a float between 0 and 1, it is taken to be a proportion...patches: >>> print ( patches [ 1 ]) [[[174 201 231] [174 201 231]]...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.extract_patches_2d.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 -
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 -
RegressorTags — scikit-learn 1.8.0 documentation
n_informative=1, bias=5.0, noise=20, random_state=42)...scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html