# Fair Classification

### Training
To train the model you can use `train_mi_estimator.sh` for binary

### Evaluation
Evaluation can be performed by running the sh scripts name ``eval_mi_estimators.sh``


Implementation of the model can be found in `model.py`


### Computational Power:
Each model takes around 5 hours to be trained on a NIVIDIA-V100.  

### Data

Unprocessed data can be found in the original repo:
https://github.com/yanaiela/demog-text-removal or just unzip the classification.zip in data/classification.