Agglomerative clustering with and without structure
  • References/Python/scikit-learn/Examples/Clustering

This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20

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multioutput.MultiOutputClassifier()
  • References/Python/scikit-learn/API Reference/multioutput

class sklearn.multioutput.MultiOutputClassifier(estimator, n_jobs=1)

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

Warning DEPRECATED

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

sklearn.metrics.normalized_mutual_info_score(labels_true, labels_pred)

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

class sklearn.exceptions.UndefinedMetricWarning

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

Warning DEPRECATED

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

sklearn.metrics.pairwise.cosine_distances(X, Y=None)

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qda.QDA()
  • References/Python/scikit-learn/API Reference/qda

Warning DEPRECATED class sklearn

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Concatenating multiple feature extraction methods
  • References/Python/scikit-learn/Examples/General examples

In many real-world examples, there are many ways to extract features from a dataset. Often it is beneficial to combine several methods to obtain

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