sklearn.datasets.make_multilabel_classification(n_samples=100, n_features=20, n_classes=5, n_labels=2, length=50

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

sklearn.datasets.make_spd_matrix(n_dim, random_state=None)

sklearn.datasets.load_digits(n_class=10, return_X_y=False)

sklearn.datasets.fetch_california_housing(data_home=None, download_if_missing=True)

sklearn.datasets.load_svmlight_file(f, n_features=None, dtype=, multilabel=False, zero_based='auto', query_id=False)

sklearn.datasets.make_biclusters(shape, n_clusters, noise=0.0, minval=10, maxval=100, shuffle=True, random_state=None)

sklearn.datasets.load_linnerud(return_X_y=False)

sklearn.datasets.make_gaussian_quantiles(mean=None, cov=1.0, n_samples=100, n_features=2, n_classes=3, shuffle=True, r

sklearn.datasets.make_friedman3(n_samples=100, noise=0.0, random_state=None)