| Name : R-fairml
| |
| Version : 0.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:43:56
|
| Group : Development/Libraries/Other
| Source RPM : R-fairml-0.8-lp153.1.5.src.rpm
|
| Size : 2.99 MB
| |
| Packager : (none)
| |
| Summary : Fair Models in Machine Learning
|
Description :
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)
< https://link.springer.com/content/pdf/10.1007/s11222-022-10143-w.pdf>
that uses ridge regression to enforce fairness.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
