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0.6.1

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aif360

IBM AI Fairness 360

Published8 Apr 2024
Direct dependencies29
Transitive dependenciesNot calculated

README

Version 0.6.1 documentation

The AI Fairness 360 toolkit is an open-source library to help detect and mitigate bias in machine learning models. The AI Fairness 360 Python package includes a comprehensive set of metrics for datasets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

We have developed the package with extensibility in mind. This library is still in development. We encourage the contribution of your datasets, metrics, explainers, and debiasing algorithms.

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Declared dependencies 74

Native requirements
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aif360-0.6.1-py3-none-any.whl

bdist_wheel · 253.63 KB · Python py3

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aif360-0.6.1.tar.gz

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