cluster.Birch()
  • References/Python/scikit-learn/API Reference/cluster

class sklearn.cluster.Birch(threshold=0.5, branching_factor=50, n_clusters=3, compute_labels=True, copy=True)

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

sklearn.datasets.fetch_olivetti_faces(data_home=None, shuffle=False, random_state=0, download_if_missing=True)

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

class sklearn.svm.NuSVR(nu=0.5, C=1.0, kernel='rbf', degree=3, gamma='auto', coef0=0.0, shrinking=True, tol=0.001, cache_size=200, verbose=False

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

Warning DEPRECATED class sklearn

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

sklearn.datasets.load_mlcomp(name_or_id, set_='raw', mlcomp_root=None, **kwargs)

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

sklearn.feature_extraction.image.img_to_graph(img, mask=None, return_as=, dtype=None)

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

class sklearn.linear_model.LinearRegression(fit_intercept=True, normalize=False, copy_X=True, n_jobs=1)

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sklearn.base.clone()
  • References/Python/scikit-learn/API Reference/base

sklearn.base.clone(estimator, safe=True)

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

class sklearn.preprocessing.RobustScaler(with_centering=True, with_scaling=True, quantile_range=(25.0, 75.0), 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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