doc/datasets/real_world.rst
.. _real_world_datasets:
.. currentmodule:: sklearn.datasets
scikit-learn provides tools to load larger datasets, downloading them if necessary.
They can be loaded using the following functions:
.. autosummary::
fetch_olivetti_faces fetch_20newsgroups fetch_20newsgroups_vectorized fetch_lfw_people fetch_lfw_pairs fetch_covtype fetch_rcv1 fetch_kddcup99 fetch_california_housing fetch_species_distributions
.. include:: ../../sklearn/datasets/descr/olivetti_faces.rst
.. include:: ../../sklearn/datasets/descr/twenty_newsgroups.rst
.. include:: ../../sklearn/datasets/descr/lfw.rst
.. include:: ../../sklearn/datasets/descr/covtype.rst
.. include:: ../../sklearn/datasets/descr/rcv1.rst
.. include:: ../../sklearn/datasets/descr/kddcup99.rst
.. include:: ../../sklearn/datasets/descr/california_housing.rst
.. include:: ../../sklearn/datasets/descr/species_distributions.rst