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

sklearn.datasets.fetch_species_distributions(data_home=None, download_if_missing=True)

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

class sklearn.exceptions.UndefinedMetricWarning

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

Warning DEPRECATED class sklearn

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

sklearn.datasets.make_checkerboard(shape, n_clusters, noise=0.0, minval=10, maxval=100, shuffle=True, random_state=None)

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

Warning DEPRECATED

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sklearn.feature_extraction.image.img_to_graph()
  • References/Python/scikit-learn/API Reference/feature_extraction

sklearn.feature_extraction.image.img_to_graph(img, mask=None, return_as=, dtype=None)

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

sklearn.metrics.pairwise.paired_cosine_distances(X, Y)

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

class sklearn.preprocessing.Normalizer(norm='l2', copy=True)

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

class sklearn.linear_model.Perceptron(penalty=None, alpha=0.0001, fit_intercept=True, n_iter=5, shuffle=True, verbose=0, eta0=1.0,

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sklearn.datasets.fetch_kddcup99()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_kddcup99(subset=None, shuffle=False, random_state=None, percent10=True, download_if_missing=True)

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