naive_bayes.BernoulliNB()
  • References/Python/scikit-learn/API Reference/naive_bayes

class sklearn.naive_bayes.BernoulliNB(alpha=1.0, binarize=0.0, fit_prior=True, class_prior=None)

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sklearn.datasets.make_classification()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_classification(n_samples=100, n_features=20, n_informative=2, n_redundant=2, n_repeated=0, n_classes=2

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exceptions.ChangedBehaviorWarning
  • References/Python/scikit-learn/API Reference/exceptions

class sklearn.exceptions.ChangedBehaviorWarning

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pipeline.Pipeline()
  • References/Python/scikit-learn/API Reference/pipeline

class sklearn.pipeline.Pipeline(steps)

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sklearn.cross_validation.cross_val_score()
  • References/Python/scikit-learn/API Reference/cross_validation

Warning DEPRECATED

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model_selection.ParameterGrid()
  • References/Python/scikit-learn/API Reference/model_selection

class sklearn.model_selection.ParameterGrid(param_grid)

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preprocessing.LabelBinarizer()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.LabelBinarizer(neg_label=0, pos_label=1, sparse_output=False)

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preprocessing.FunctionTransformer()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.FunctionTransformer(func=None, inverse_func=None, validate=True, accept_sparse=False, pass_y=False

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linear_model.BayesianRidge()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.BayesianRidge(n_iter=300, tol=0.001, alpha_1=1e-06, alpha_2=1e-06, lambda_1=1e-06, lambda_2=1e-06, compute_score=False

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sklearn.utils.shuffle()
  • References/Python/scikit-learn/API Reference/utils

sklearn.utils.shuffle(*arrays, **options)

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