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Algorithms for evaluating fairness metrics and mitigating unfairness in supervised machine learning
pip install equalityml-fork2
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.5.0>=1.5.0>=0.7.0>=1.2.5>=1.20.3>=0.22.1equalityml-fork2 publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .