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fairness-web's Introduction

fairness-web

Platform for evaluating the fairness and identifying potential descrimination issues in datasets or machine learning models. This demo is implemented by Ziqi Wang from the Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology.

Before running

Install required packages

pip install -r requirement.txt

Verified versions:

  • numpy-1.21.2
  • pandas-1.3.2
  • torch-1.9.0
  • flask-2.0.1
  • pyecharts-1.9.0

How to run

  1. Run the application
python app.py
  1. Copy the ip shown in the terminal and paste it into a web browser (Chrome is recommended, we have not tested other browsers).

Samples

  • Sample dataset can be found in "test_cases/data".
  • Sample models can be found in "test_cases/model".

fairness-web's People

Contributors

facct2022anonymous avatar herobrine13579 avatar ljialin avatar pneuc avatar

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