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folktables

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0.0.12 folktables-0.0.12-py3-none-any.whl

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Project: folktables
Version: 0.0.12
Filename: folktables-0.0.12-py3-none-any.whl
Download: [link]
Size: 17332
MD5: 87b71700108642407524c3853ae9de28
SHA256: 979cda1900094b845ab3a8a3ae1b848f0138b780d5f8d17eeb6eb04c3c0c6617
Uploaded: 2023-02-08 16:29:44 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: folktables
Version: 0.0.12
Summary: New machine learning benchmarks from tabular datasets.
Author: John Miller, Frances Ding, Ludwig Schmidt, Moritz Hardt
Author-Email: hardt[at]is.mpg.de
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Requires-Python: >=3.7
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: scikit-learn
License-File: LICENSE.txt
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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folktables/exceptions.py sha256=H2gEF_QoC-VAzOdhI7Fmi7OvnsaC8uG3atXknCmx3ro 987
folktables/folktables.py sha256=NQPnjfdG-ejQpZk59KWnn9R1i7__szsaq-3SBglJ0Ko 4568
folktables/load_acs.py sha256=ayJZm0_Bu-BeEmURjlKSkISWADJv3FV2NEms_d2eVc0 8776
folktables/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
folktables/utils/download_utils.py sha256=NAZDKqlx-7Ed2OwJDJl07AwLBiv3PkuyyO2li7fLKg4 4043
folktables/utils/files_resources.py sha256=VWuLoOR8ZTCtmKNfkf9S6YKfvFN6W6UucjJot2g3PKY 998
folktables/utils/load_utils.py sha256=Kz__52oFSKtJsLk2Ha6G5BOFTvrbFJCHsQQ4f-u6Y9g 1443
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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tests/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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tests/utils/test_load_utils.py sha256=-1ShNTfldr5_T0cBEnC9WHpVjWGzUQqmPplI2MwBbvg 1581
folktables-0.0.12.dist-info/LICENSE.txt sha256=i_oTR_XQsXkWrPycBKvf2IS4xzAmEmCxRpmkgz-T7TU 1062
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folktables-0.0.12.dist-info/RECORD — —

top_level.txt

folktables
tests