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

sklearn.datasets.fetch_mldata(dataname, target_name='label', data_name='data', transpose_data=True, data_home=None)

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

class sklearn.manifold.LocallyLinearEmbedding(n_neighbors=5, n_components=2, reg=0.001, eigen_solver='auto', tol=1e-06, max_iter=100

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base.ClassifierMixin
  • References/Python/scikit-learn/API Reference/base

class sklearn.base.ClassifierMixin

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

sklearn.metrics.v_measure_score(labels_true, labels_pred)

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sklearn.cluster.estimate_bandwidth()
  • References/Python/scikit-learn/API Reference/cluster

sklearn.cluster.estimate_bandwidth(X, quantile=0.3, n_samples=None, random_state=0, n_jobs=1)

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

class sklearn.ensemble.BaggingRegressor(base_estimator=None, n_estimators=10, max_samples=1.0, max_features=1.0, bootstrap=True,

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

sklearn.datasets.make_circles(n_samples=100, shuffle=True, noise=None, random_state=None, factor=0.8)

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

Warning DEPRECATED class sklearn

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

class sklearn.feature_selection.SelectPercentile(score_func=, percentile=10)

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

class sklearn.exceptions.FitFailedWarning

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