This is the initial release of themis-ml. It exposes the following
functionality with respect to fairness-aware machine learning methods:
Measuring Discrimination
Group-level measures
- Mean difference
- Normalized mean difference
Mitigating Discrimination
Preprocessing
- Relabelling (Massaging)
- Reweighting
Model Estimation
- Additive Counterfactually Fair Estimator
Postprocessing
- Reject Option Classification
Datasets
- German Credit Dataset