sklearn.datasets.load_breast_cancer(return_X_y=False)
sklearn.datasets.make_checkerboard(shape, n_clusters, noise=0.0, minval=10, maxval=100, shuffle=True, random_state=None)
sklearn.datasets.make_friedman1(n_samples=100, n_features=10, noise=0.0, random_state=None)
sklearn.datasets.load_diabetes(return_X_y=False)
sklearn.datasets.make_hastie_10_2(n_samples=12000, random_state=None)
sklearn.datasets.mldata_filename(dataname)
sklearn.datasets.load_mlcomp(name_or_id, set_='raw', mlcomp_root=None, **kwargs)
sklearn.datasets.make_low_rank_matrix(n_samples=100, n_features=100, effective_rank=10, tail_strength=0.5, random_state=None)
sklearn.datasets.fetch_mldata(dataname, target_name='label', data_name='data', transpose_data=True, data_home=None)
sklearn.datasets.make_regression(n_samples=100, n_features=100, n_informative=10, n_targets=1, bias=0.0, effective_rank=None, tail_strength=0
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