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

Warning DEPRECATED class sklearn

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preprocessing.Imputer()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.Imputer(missing_values='NaN', strategy='mean', axis=0, verbose=0, copy=True)

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isotonic.IsotonicRegression()
  • References/Python/scikit-learn/API Reference/isotonic

class sklearn.isotonic.IsotonicRegression(y_min=None, y_max=None, increasing=True, out_of_bounds='nan')

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

class sklearn.feature_selection.VarianceThreshold(threshold=0.0)

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

class sklearn.decomposition.LatentDirichletAllocation(n_topics=10, doc_topic_prior=None, topic_word_prior=None, learning_method=None

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tree.DecisionTreeClassifier()
  • References/Python/scikit-learn/API Reference/tree

class sklearn.tree.DecisionTreeClassifier(criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1

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tree.DecisionTreeRegressor()
  • References/Python/scikit-learn/API Reference/tree

class sklearn.tree.DecisionTreeRegressor(criterion='mse', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1

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

Warning DEPRECATED

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

sklearn.metrics.pairwise.cosine_similarity(X, Y=None, dense_output=True)

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naive_bayes.MultinomialNB()
  • References/Python/scikit-learn/API Reference/naive_bayes

class sklearn.naive_bayes.MultinomialNB(alpha=1.0, fit_prior=True, class_prior=None)

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