fairml
Fair Models in Machine Learning
Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach from Scutari, Panero and Proissl (2022) <doi:10.1007/s11222-022-10143-w> that uses ridge regression to enforce fairness.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.1 |
2026-04-09 windows/windows R-4.5 | fairml_0.9.1.zip |
2.7 MiB |