Metadata-Version: 2.1
Name: aequitas-lite
Version: 0.43.3
Summary: The bias and fairness audit toolkit.
Home-page: https://github.com/dssg/aequitas
Author: Center for Data Science and Public Policy
Author-email: datascifellows@gmail.com
License: https://github.com/dssg/aequitas/blob/master/LICENSE
Keywords: fairness bias aequitas
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Requires-Dist: matplotlib (>=3.0.3)
Requires-Dist: pandas (>=0.24.1)
Requires-Dist: seaborn (>=0.9.0)
Requires-Dist: altair (==4.1.0)
Requires-Dist: millify (==0.1.1)


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.