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

sklearn.metrics.classification_report(y_true, y_pred, labels=None, target_names=None, sample_weight=None, digits=2)

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sklearn.base.clone()
  • References/Python/scikit-learn/API Reference/base

sklearn.base.clone(estimator, safe=True)

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

class sklearn.covariance.GraphLasso(alpha=0.01, mode='cd', tol=0.0001, enet_tol=0.0001, max_iter=100, verbose=False, assume_centered=False)

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sklearn.manifold.locally_linear_embedding()
  • References/Python/scikit-learn/API Reference/manifold

sklearn.manifold.locally_linear_embedding(X, n_neighbors, n_components, reg=0.001, eigen_solver='auto', tol=1e-06, max_iter=100

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sklearn.datasets.make_hastie_10_2()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_hastie_10_2(n_samples=12000, random_state=None)

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

Warning DEPRECATED

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

class sklearn.exceptions.ConvergenceWarning

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

Warning DEPRECATED

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

class sklearn.gaussian_process.kernels.CompoundKernel(kernels)

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

class sklearn.feature_extraction.FeatureHasher(n_features=1048576, input_type='dict', dtype=, non_negative=False)

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