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The bias and fairness audit toolkit.

Project description

Aequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools.

Project details


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Files for aequitas, version 0.38.0
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Filename, size aequitas-0.38.0-py2-none-any.whl (2.1 MB) File type Wheel Python version py2 Upload date Hashes View hashes
Filename, size aequitas-0.38.0.tar.gz (2.1 MB) File type Source Python version None Upload date Hashes View hashes

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