initial release

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