Uploaded Test files

venv/Lib/site-packages/sklearn/datasets/__init__.py

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+"""
+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 ._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 ._openml import fetch_openml
+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_io import load_svmlight_file
+from ._svmlight_format_io import load_svmlight_files
+from ._svmlight_format_io 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_olivetti_faces',
+           'fetch_species_distributions',
+           'fetch_california_housing',
+           'fetch_covtype',
+           'fetch_rcv1',
+           'fetch_kddcup99',
+           'fetch_openml',
+           'get_data_home',
+           'load_boston',
+           'load_diabetes',
+           'load_digits',
+           'load_files',
+           'load_iris',
+           'load_breast_cancer',
+           'load_linnerud',
+           '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']