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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 -
Nested versus non-nested cross-validation — sci...
= { "C" : [ 1 , 10 , 100 ], "gamma" : [ 0.01 , 0.1 ]} # We will...Iris Dataset" , x = 0.5 , y = 1.1 , fontsize = "15" , ) # Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.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 -
auc — scikit-learn 1.8.0 documentation
array ([ 1 , 1 , 2 , 2 ]) >>> y_score = np . array ([ 0.1 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.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 -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
LinearSVR — scikit-learn 1.8.0 documentation
1] , where 1 corresponds to the intercept....version 1.3: The "auto" option is added in version 1.3 and will...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html -
TheilSenRegressor — scikit-learn 1.8.0 document...
means 1 unless in a joblib.parallel_backend context. -1 means...the number of features (plus 1 if fit_intercept=True) and the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.8....
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also orthogonal_mp Solves...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html