sklearn.datasets.make_friedman2(n_samples=100, noise=0.0, random_state=None)

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

sklearn.datasets.fetch_lfw_people(data_home=None, funneled=True, resize=0.5, min_faces_per_person=0, color=False, slice_=(slice(70

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

sklearn.datasets.get_data_home(data_home=None)

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

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

sklearn.datasets.load_sample_image(image_name)

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

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