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

Warning DEPRECATED

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sklearn.metrics.pairwise.kernel_metrics()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise.kernel_metrics()

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neighbors.DistanceMetric
  • References/Python/scikit-learn/API Reference/neighbors

class sklearn.neighbors.DistanceMetric DistanceMetric class This class provides a uniform interface to

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grid_search.ParameterSampler()
  • References/Python/scikit-learn/API Reference/grid_search

Warning DEPRECATED

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

class sklearn.model_selection.StratifiedShuffleSplit(n_splits=10, test_size=0.1, train_size=None, random_state=None)

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

class sklearn.pipeline.Pipeline(steps)

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

sklearn.datasets.make_spd_matrix(n_dim, random_state=None)

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decomposition.FastICA()
  • References/Python/scikit-learn/API Reference/decomposition

class sklearn.decomposition.FastICA(n_components=None, algorithm='parallel', whiten=True, fun='logcosh', fun_args=None, max_iter=200

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

class sklearn.linear_model.PassiveAggressiveRegressor(C=1.0, fit_intercept=True, n_iter=5, shuffle=True, verbose=0

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