Fairlearn
VerifiedOpen-source Python package to assess and improve fairness of machine learning models. Provides metrics for assessment and algorithms for mitigating unfairness.
Frameworks Covered
NIST-AI-RMF
Services
bias-auditfairness-metricsbias-mitigationmodel-assessment
About Fairlearn
Fairlearn is an open-source Python package that empowers developers of AI systems to assess their system's fairness and mitigate any observed unfairness issues. It contains mitigation algorithms as well as metrics for model assessment, focusing on group fairness and individual harm.
Services
- Fairness metrics (demographic parity, equalized odds, equal opportunity)
- Unfairness mitigation algorithms (reduction, post-processing)
- Interactive visualizations for fairness analysis
- Scikit-learn-compatible API
- Jupyter notebook examples
Installation
pip install fairlearn
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