sklearn.linear_model.lars_path(X, y, Xy=None, Gram=None, max_iter=500, alpha_min=0, method='lar', copy_X=True, eps=2.2204460492503131e-16

class sklearn.linear_model.RANSACRegressor(base_estimator=None, min_samples=None, residual_threshold=None, is_data_valid=None

sklearn.metrics.auc(x, y, reorder=False)

class sklearn.base.RegressorMixin

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

sklearn.datasets.fetch_rcv1(data_home=None, subset='all', download_if_missing=True, random_state=None, shuffle=False)

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

class sklearn.cross_decomposition.CCA(n_components=2, scale=True, max_iter=500, tol=1e-06, copy=True)

sklearn.datasets.dump_svmlight_file(X, y, f, zero_based=True, comment=None, query_id=None, multilabel=False)

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