content: """
  The :mod:`sklearn.datasets` module includes utilities to load datasets,
  including methods to load and fetch popular reference datasets. It also
  features some artificial data generators.
  """
  from .base import load_breast_cancer
  from .base import load_boston
  from .base import load_diabetes
  from .base import load_digits
  from .base import load_files
  from .base import load_iris
  from .base import load_linnerud
  from .base import load_sample_images
  from .base import load_sample_image
  from .base import load_wine
  from .base import get_data_home
  from .base import clear_data_home
  from .covtype import fetch_covtype
  from .kddcup99 import fetch_kddcup99
  from .mlcomp import load_mlcomp
  from .lfw import fetch_lfw_pairs
  from .lfw import fetch_lfw_people
  from .twenty_newsgroups import fetch_20newsgroups
  from .twenty_newsgroups import fetch_20newsgroups_vectorized
  from .mldata import fetch_mldata, mldata_filename
  from .samples_generator import make_classification
  from .samples_generator import make_multilabel_classification
  from .samples_generator import make_hastie_10_2
  from .samples_generator import make_regression
  from .samples_generator import make_blobs
  from .samples_generator import make_moons
  from .samples_generator import make_circles
  from .samples_generator import make_friedman1
  from .samples_generator import make_friedman2
  from .samples_generator import make_friedman3
  from .samples_generator import make_low_rank_matrix
  from .samples_generator import make_sparse_coded_signal
  from .samples_generator import make_sparse_uncorrelated
  from .samples_generator import make_spd_matrix
  from .samples_generator import make_swiss_roll
  from .samples_generator import make_s_curve
  from .samples_generator import make_sparse_spd_matrix
  from .samples_generator import make_gaussian_quantiles
  from .samples_generator import make_biclusters
  from .samples_generator import make_checkerboard
  from .svmlight_format import load_svmlight_file
  from .svmlight_format import load_svmlight_files
  from .svmlight_format import dump_svmlight_file
  from .olivetti_faces import fetch_olivetti_faces
  from .species_distributions import fetch_species_distributions
  from .california_housing import fetch_california_housing
  from .rcv1 import fetch_rcv1
  
  
  __all__ = ['clear_data_home',
             'dump_svmlight_file',
             'fetch_20newsgroups',
             'fetch_20newsgroups_vectorized',
             'fetch_lfw_pairs',
             'fetch_lfw_people',
             'fetch_mldata',
             'fetch_olivetti_faces',
             'fetch_species_distributions',
             'fetch_california_housing',
             'fetch_covtype',
             'fetch_rcv1',
             'fetch_kddcup99',
             'get_data_home',
             'load_boston',
             'load_diabetes',
             'load_digits',
             'load_files',
             'load_iris',
             'load_breast_cancer',
             'load_linnerud',
             'load_mlcomp',
             'load_sample_image',
             'load_sample_images',
             'load_svmlight_file',
             'load_svmlight_files',
             'load_wine',
             'make_biclusters',
             'make_blobs',
             'make_circles',
             'make_classification',
             'make_checkerboard',
             'make_friedman1',
             'make_friedman2',
             'make_friedman3',
             'make_gaussian_quantiles',
             'make_hastie_10_2',
             'make_low_rank_matrix',
             'make_moons',
             'make_multilabel_classification',
             'make_regression',
             'make_s_curve',
             'make_sparse_coded_signal',
             'make_sparse_spd_matrix',
             'make_sparse_uncorrelated',
             'make_spd_matrix',
             'make_swiss_roll',
             'mldata_filename']
  