Metadata-Version: 2.1
Name: fairxplainer
Version: 0.3.0
Summary: A Python package for explaining bias in machine learning models
Home-page: https://github.com/ReAILe/bias-explainer
Author: Bishwamittra Ghosh
Author-email: bishwamittra.ghosh@gmail.com
License: MIT
Keywords: Fair Machine Learning,Bias,Explainability,Global Sensitivity Analysis,Variance Decomposition,Influence Functions
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Fairness Influence Functions
A Python package for explaining bias in machine learning models based on global sensitivity analysis. Read the [paper](https://arxiv.org/pdf/2206.00667.pdf).

## Install
`pip install fairxplainer`

Other supported libraries can be installed using `pip install -r requirements.txt`.

## Usage
See Python notebook in this [folder](doc/).

## Contact
[Bishwamittra Ghosh](https://bishwamittra.github.io/) (bghosh@u.nus.edu)
