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equalityml-fork2

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0.1.2 equalityml_fork2-0.1.2-py3-none-any.whl

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Project: equalityml-fork2
Version: 0.1.2
Filename: equalityml_fork2-0.1.2-py3-none-any.whl
Download: [link]
Size: 29085
MD5: f76bac09de6eb89c1fdec01e13d4a68d
SHA256: f2254b42eadc457dffc9d5d58645644d330ada1b642b57e79bab83723b320fd9
Uploaded: 2023-03-28 02:09:10 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: equalityml-fork2
Version: 0.1.2
Summary: Algorithms for evaluating fairness metrics and mitigating unfairness in supervised machine learning
Author: Ben Brintz, Mark Zhang, James Ng, Janice Davis, Jared Hansen, Ji won Chang, João Granja, Rizwan Muhammad
Author-Email: support[at]equalityai.com
Home-Page: https://equalityai.com
Project-Url: Website, https://equalityai.com
Project-Url: Manifesto, https://equalityai.com/community/#manifesto
Project-Url: GitHub, https://github.com/EqualityAI/EqualityML
Project-Url: Slack, https://equalityai.slack.com/ssb/redirect#/shared-invite/email
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: BlackBoxAuditing
Requires-Dist: aif360-fork2 (>=0.5.0)
Requires-Dist: dalex (>=1.5.0)
Requires-Dist: fairlearn (>=0.7.0)
Requires-Dist: pandas (>=1.2.5)
Requires-Dist: numpy (>=1.20.3)
Requires-Dist: scikit-learn (>=0.22.1)
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: pytest (>=3.5.0); extra == "tests"
Requires-Dist: pytest-cov (>=2.8.1); extra == "tests"
Provides-Extra: doc
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 74 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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equalityml/fair.py sha256=A9dXVm3onipq9L-OHxgGnmiyfxK7SpvR_eZGUJpQO1c 39344
equalityml/stats.py sha256=k1Hkj-MZY1uqBNUbgu9Llw1UKnzdxFSCcYlnX48EFTI 19133
equalityml/threshold.py sha256=wd2wb20iRxAfrB8Pm140p3PklZtBIThMcFj8kPpoLZE 28255
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/test_fair.py sha256=oB23t22ZqhYUJkzIISXwErJAAGKZ2wTQLokO3vkjYjI 8113
tests/test_stats.py sha256=-qhFRxAEBzdn1H0q2oFBm7750gYFVhgUCmYhqCgF51Y 4638
tests/test_threshold.py sha256=F1WyfIkix49x-S2GKHCiKhOTQGZWpdmlJQ-HNgsSmb4 3469
equalityml_fork2-0.1.2.dist-info/LICENSE sha256=MHEJl0ikHAfojraUWhuSC_hGxa3pY4HkVlxBScZ1kXo 11360
equalityml_fork2-0.1.2.dist-info/METADATA sha256=7TGbL6n2mmpB4obf3S8jlTK0Txp-8t5YcD_O_p2Nl2I 1509
equalityml_fork2-0.1.2.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
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equalityml_fork2-0.1.2.dist-info/RECORD — —

top_level.txt

equalityml
tests