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https://github.com/mlohaus/searchfair

Binary classification algorithm under fairness considerations.
https://github.com/mlohaus/searchfair

fairness-ml machine-learning

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Binary classification algorithm under fairness considerations.

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# 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)