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

sklearn.decomposition.dict_learning(X, n_components, alpha, max_iter=100, tol=1e-08, method='lars', n_jobs=1, dict_init=None

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

class sklearn.linear_model.PassiveAggressiveRegressor(C=1.0, fit_intercept=True, n_iter=5, shuffle=True, verbose=0

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

sklearn.metrics.pairwise.sigmoid_kernel(X, Y=None, gamma=None, coef0=1)

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

sklearn.metrics.make_scorer(score_func, greater_is_better=True, needs_proba=False, needs_threshold=False, **kwargs)

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

class sklearn.exceptions.EfficiencyWarning

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

sklearn.preprocessing.binarize(X, threshold=0.0, copy=True)

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

Warning DEPRECATED

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

sklearn.decomposition.dict_learning_online(X, n_components=2, alpha=1, n_iter=100, return_code=True, dict_init=None,

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feature_extraction.image.PatchExtractor()
  • References/Python/scikit-learn/API Reference/feature_extraction

class sklearn.feature_extraction.image.PatchExtractor(patch_size=None, max_patches=None, random_state=None)

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

class sklearn.model_selection.GroupKFold(n_splits=3)

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