https://github.com/mlohaus/searchfair
Binary classification algorithm under fairness considerations.
https://github.com/mlohaus/searchfair
fairness-ml machine-learning
Last synced: 6 months ago
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Binary classification algorithm under fairness considerations.
- Host: GitHub
- URL: https://github.com/mlohaus/searchfair
- Owner: mlohaus
- License: gpl-3.0
- Created: 2020-06-07T16:05:49.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-12T08:48:42.000Z (almost 3 years ago)
- Last Synced: 2025-03-27T00:54:55.981Z (7 months ago)
- Topics: fairness-ml, machine-learning
- Language: Python
- Homepage:
- Size: 3.36 MB
- Stars: 9
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SearchFair
## Citing SearchFair
If you use this software please cite the following publication:
```
@inproceedings{lohaus2020,
title={Too Relaxed to Be Fair},
author={Lohaus, Michael and Perrot, Micha{\"e}l and von Luxburg, Ulrike},
booktitle={International Conference on Machine Learning},
year={2020}
}
```
## Installation
You can install SearchFair by cloning the repository and running the setup file:
```
git clone https://github.com/mlohaus/SearchFair.git
cd SearchFair
python setup.py install
```
## Examples
We provide the following two examples on real data and toy data.
- [Binary fair classification on real data.](https://github.com/mlohaus/SearchFair/blob/master/examples/real_data.ipynb)
- [Binary fair classification on toy data.](https://github.com/mlohaus/SearchFair/blob/master/examples/toy_data.ipynb)