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BaggingClassifier — scikit-learn 1.6.1 document...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
BernoulliRBM — scikit-learn 1.6.1 documentation
1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]]) >>> model...= 256 , * , learning_rate = 0.1 , batch_size = 10 , n_iter = 10...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
Importance of Feature Scaling — scikit-learn 1....
0 and 1,000; whereas the variable “hue” varies between 1 and 10....it has a standard deviation of 1 and a mean of 0. Even if tree...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
LinearSVC — scikit-learn 1.6.1 documentation
intercept term: [x_1, ..., x_n, 1] , where 1 corresponds to the...version 1.3: The "auto" option is added in version 1.3 and will...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
StackingRegressor — scikit-learn 1.6.1 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
Faces dataset decompositions — scikit-learn 1.6...
mean ( axis = 1 ) . reshape ( n_samples , - 1 ) print ( "Dataset...n_components = n_components , alpha = 0.1 , max_iter = 100 , batch_size...scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html -
Perceptron — scikit-learn 1.6.1 documentation
l1_ratio <= 1 . l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
StratifiedKFold — scikit-learn 1.6.1 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
SimpleImputer — scikit-learn 1.6.1 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.6: Currently, when...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
GammaRegressor — scikit-learn 1.6.1 documentation
alpha = 1.0 , fit_intercept = True , solver...Parameters : alpha float, default=1 Constant that multiplies the L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html