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Published 20 hours ago • verified publisher icon Trusted-AI

Port micellaneous items to sklearn-compatible API

Open hoffmansc opened this issue 5 years ago • 8 comments

  • [x] MEPS dataset
  • [x] differential fairness metrics
  • [ ] rich subgroup fairness

hoffmansc avatar Feb 23 '20 00:02 hoffmansc

@hoffmansc Do you skeleton for this conversion?

SSaishruthi avatar Feb 27 '20 21:02 SSaishruthi

I don't really have skeletons for these but I thought examples would be enough:

For the MEPS dataset, a good place to start might be the COMPAS port.

For differential fairness, you could look at any number of the already ported metrics.

hoffmansc avatar Mar 07 '20 16:03 hoffmansc

@hoffmansc I will take a look at it this week.

SSaishruthi avatar Mar 11 '20 18:03 SSaishruthi

New to contributing. Can I take a crack at this? @hoffmansc

mkrueger12 avatar Jan 29 '22 21:01 mkrueger12

we'd love it if you did

krvarshney avatar Jan 29 '22 22:01 krvarshney

Great. I'll give it a go.

mkrueger12 avatar Jan 29 '22 22:01 mkrueger12

Sorry! I got this confused with another issue. I have some work in progress for the first two but rich subgroup fairness is still outstanding. @mkrueger12

hoffmansc avatar Feb 01 '22 23:02 hoffmansc

Sounds good. I can work on rich subgroup fairness. @hoffmansc

mkrueger12 avatar Feb 01 '22 23:02 mkrueger12