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Port micellaneous items to sklearn-compatible API #150

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hoffmansc opened this issue Feb 23, 2020 · 8 comments
Open
2 of 3 tasks

Port micellaneous items to sklearn-compatible API #150

hoffmansc opened this issue Feb 23, 2020 · 8 comments
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advanced Advanced skill level may be needed epic Tracking large issues with multiple parts good first issue Good for newcomers help wanted Extra attention is needed mitigation bias mitigation method
Milestone
sklearn-compat

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@hoffmansc
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hoffmansc commented Feb 23, 2020 •
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  • MEPS dataset
  • differential fairness metrics
  • rich subgroup fairness
@hoffmansc hoffmansc added help wanted Extra attention is needed good first issue Good for newcomers labels Feb 23, 2020
@hoffmansc hoffmansc added this to the sklearn-compat milestone Feb 23, 2020
@SSaishruthi
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@hoffmansc Do you skeleton for this conversion?

@hoffmansc
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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.

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

@hoffmansc hoffmansc mentioned this issue Nov 23, 2021
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@mkrueger12
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mkrueger12 commented Jan 29, 2022 •
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New to contributing. Can I take a crack at this? @hoffmansc

@krvarshney
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we'd love it if you did

@mkrueger12
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Great. I'll give it a go.

@hoffmansc
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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

@mkrueger12
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Sounds good. I can work on rich subgroup fairness. @hoffmansc

@hoffmansc hoffmansc mentioned this issue Feb 15, 2022
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@nrkarthikeyan nrkarthikeyan added advanced Advanced skill level may be needed mitigation bias mitigation method labels Sep 15, 2022
@hoffmansc hoffmansc added the epic Tracking large issues with multiple parts label Sep 16, 2022
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advanced Advanced skill level may be needed epic Tracking large issues with multiple parts good first issue Good for newcomers help wanted Extra attention is needed mitigation bias mitigation method
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@nrkarthikeyan @krvarshney @hoffmansc @SSaishruthi @mkrueger12