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inFairness

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0.2.3 inFairness-0.2.3-py3-none-any.whl

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Project: inFairness
Version: 0.2.3
Filename: inFairness-0.2.3-py3-none-any.whl
Download: [link]
Size: 45765
MD5: 9c5323ba4b3cc0c3979dac24ce3bec4f
SHA256: 85a39fc0a68d5b895a6794e722cf0548ff0f4fd52751ed3661e7a6f6365f8a22
Uploaded: 2023-04-10 19:16:11 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: inFairness
Version: 0.2.3
Summary: inFairness is a Python package to train and audit individually fair PyTorch models
Author: IBM Research
Author-Email: mayank.agarwal[at]ibm.com, aldo.pareja[at]ibm.com, onkarbhardwaj[at]ibm.com, mikhail.yurochkin[at]ibm.com
Home-Page: https://github.com/IBM/inFairness
Keywords: individual fairness,ai fairness,trustworthy ai,machine learning
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.21.6)
Requires-Dist: pandas (>=1.3.5)
Requires-Dist: POT (>=0.8.0)
Requires-Dist: scikit-learn (>=0.24.2)
Requires-Dist: scipy (>=1.5.4)
Requires-Dist: torch (>=1.13.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7413 characters]

WHEEL

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inFairness-0.2.3.dist-info/RECORD — —

top_level.txt

inFairness