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

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

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linear_model.LassoCV()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.LassoCV(eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, normalize=False, precompute='auto', max_iter=1000

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

sklearn.tree.export_graphviz()

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

class sklearn.base.TransformerMixin

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sklearn.datasets.make_friedman3()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_friedman3(n_samples=100, noise=0.0, random_state=None)

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

class sklearn.feature_extraction.text.TfidfVectorizer(input=u'content', encoding=u'utf-8', decode_error=u'strict',

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random_projection.GaussianRandomProjection()
  • References/Python/scikit-learn/API Reference/random_projection

class sklearn.random_projection.GaussianRandomProjection(n_components='auto', eps=0.1, random_state=None)

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

sklearn.metrics.completeness_score(labels_true, labels_pred)

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sklearn.svm.l1_min_c()
  • References/Python/scikit-learn/API Reference/svm

sklearn.svm.l1_min_c(X, y, loss='squared_hinge', fit_intercept=True, intercept_scaling=1.0)

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

sklearn.metrics.pairwise.paired_distances(X, Y, metric='euclidean', **kwds)

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