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

class sklearn.exceptions.ChangedBehaviorWarning

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

sklearn.datasets.make_swiss_roll(n_samples=100, noise=0.0, random_state=None)

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

sklearn.datasets.get_data_home(data_home=None)

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mixture.VBGMM()
  • References/Python/scikit-learn/API Reference/mixture

Warning DEPRECATED class sklearn

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

sklearn.datasets.load_digits(n_class=10, return_X_y=False)

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

sklearn.metrics.pairwise_distances_argmin(X, Y, axis=1, metric='euclidean', batch_size=500, metric_kwargs=None)

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sklearn.feature_selection.f_classif()
  • References/Python/scikit-learn/API Reference/feature_selection

sklearn.feature_selection.f_classif(X, y)

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sklearn.random_projection.johnson_lindenstrauss_min_dim()
  • References/Python/scikit-learn/API Reference/random_projection

sklearn.random_projection.johnson_lindenstrauss_min_dim(n_samples, eps=0.1)

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