covariance.ShrunkCovariance()
  • References/Python/scikit-learn/API Reference/covariance

class sklearn.covariance.ShrunkCovariance(store_precision=True, assume_centered=False, shrinkage=0.1)

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

Warning DEPRECATED

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feature_extraction.text.TfidfTransformer()
  • References/Python/scikit-learn/API Reference/feature_extraction

class sklearn.feature_extraction.text.TfidfTransformer(norm=u'l2', use_idf=True, smooth_idf=True, sublinear_tf=False)

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sklearn.feature_extraction.image.extract_patches_2d()
  • References/Python/scikit-learn/API Reference/feature_extraction

sklearn.feature_extraction.image.extract_patches_2d(image, patch_size, max_patches=None, random_state=None)

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

class sklearn.model_selection.GroupShuffleSplit(n_splits=5, test_size=0.2, train_size=None, random_state=None)

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model_selection.LeaveOneOut
  • References/Python/scikit-learn/API Reference/model_selection

class sklearn.model_selection.LeaveOneOut

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kernel_approximation.RBFSampler()
  • References/Python/scikit-learn/API Reference/kernel_approximation

class sklearn.kernel_approximation.RBFSampler(gamma=1.0, n_components=100, random_state=None)

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sklearn.ensemble.partial_dependence.plot_partial_dependence()
  • References/Python/scikit-learn/API Reference/ensemble

sklearn.ensemble.partial_dependence.plot_partial_dependence(gbrt, X, features, feature_names=None, label=None

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ensemble.GradientBoostingClassifier()
  • References/Python/scikit-learn/API Reference/ensemble

class sklearn.ensemble.GradientBoostingClassifier(loss='deviance', learning_rate=0.1, n_estimators=100, subsample=1.0,

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

class sklearn.linear_model.OrthogonalMatchingPursuit(n_nonzero_coefs=None, tol=None, fit_intercept=True, normalize=True

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