Themis Ml Versions Save

A library that implements fairness-aware machine learning algorithms

0.0.4

6 years ago

0.0.1

6 years ago

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