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

sklearn.metrics.label_ranking_loss(y_true, y_score, sample_weight=None)

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

class sklearn.decomposition.IncrementalPCA(n_components=None, whiten=False, copy=True, batch_size=None)

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

Warning DEPRECATED

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gaussian_process.kernels.WhiteKernel()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.WhiteKernel(noise_level=1.0, noise_level_bounds=(1e-05, 100000.0))

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

class sklearn.feature_selection.SelectFromModel(estimator, threshold=None, prefit=False)

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semi_supervised.LabelSpreading()
  • References/Python/scikit-learn/API Reference/semi_supervised

class sklearn.semi_supervised.LabelSpreading(kernel='rbf', gamma=20, n_neighbors=7, alpha=0.2, max_iter=30, tol=0.001, n_jobs=1)

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

sklearn.model_selection.cross_val_score(estimator, X, y=None, groups=None, scoring=None, cv=None, n_jobs=1, verbose=0, fit_params=None

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

sklearn.metrics.pairwise_distances(X, Y=None, metric='euclidean', n_jobs=1, **kwds)

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

class sklearn.decomposition.DictionaryLearning(n_components=None, alpha=1, max_iter=1000, tol=1e-08, fit_algorithm='lars'

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