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

class sklearn.linear_model.SGDClassifier(loss='hinge', penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, n_iter=5,

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gaussian_process.kernels.RBF()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.RBF(length_scale=1.0, length_scale_bounds=(1e-05, 100000.0))

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grid_search.GridSearchCV()
  • References/Python/scikit-learn/API Reference/grid_search

Warning DEPRECATED class

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

class sklearn.cluster.bicluster.SpectralBiclustering(n_clusters=3, method='bistochastic', n_components=6, n_best=3,

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

class sklearn.base.BaseEstimator

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neighbors.RadiusNeighborsRegressor()
  • References/Python/scikit-learn/API Reference/neighbors

class sklearn.neighbors.RadiusNeighborsRegressor(radius=1.0, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski'

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

class sklearn.feature_selection.SelectFromModel(estimator, threshold=None, prefit=False)

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

class sklearn.preprocessing.Binarizer(threshold=0.0, copy=True)

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

sklearn.datasets.load_boston(return_X_y=False)

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ensemble.RandomForestRegressor()
  • References/Python/scikit-learn/API Reference/ensemble

class sklearn.ensemble.RandomForestRegressor(n_estimators=10, criterion='mse', max_depth=None, min_samples_split=2, min_samples_leaf=1

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