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.datasets.fetch_20newsgroups_vectorized()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_20newsgroups_vectorized(subset='train', remove=(), data_home=None)

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

sklearn.metrics.adjusted_mutual_info_score(labels_true, labels_pred)

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gaussian_process.kernels.Hyperparameter
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.Hyperparameter

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

class sklearn.base.RegressorMixin

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

class sklearn.linear_model.LassoLarsIC(criterion='aic', fit_intercept=True, verbose=False, normalize=True, precompute='auto', max_iter=500

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

sklearn.datasets.load_svmlight_file(f, n_features=None, dtype=, multilabel=False, zero_based='auto', query_id=False)

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

sklearn.tree.export_graphviz()

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sklearn.model_selection.validation_curve()
  • References/Python/scikit-learn/API Reference/model_selection

sklearn.model_selection.validation_curve(estimator, X, y, param_name, param_range, groups=None, cv=None, scoring=None,

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