FAIM is a type of postprocessing fairness algorthm that would fit great as part of Fairlearn, specifically, the Fairlearn Postprocessing Module.
Such a contribution would make Fairlearn widely available the broader community and help ensure the implementation is maintained for future users. However, such a contribution needs effort, both from my side and from the side of the Fairlearn community. In that regard, I would be happy to work on the contribution given enough demand from the wider community. If you'd like to see FAIM added to Fairlearn, please 👍 this issue.
FAIM is a type of postprocessing fairness algorthm that would fit great as part of Fairlearn, specifically, the Fairlearn Postprocessing Module.
Such a contribution would make Fairlearn widely available the broader community and help ensure the implementation is maintained for future users. However, such a contribution needs effort, both from my side and from the side of the Fairlearn community. In that regard, I would be happy to work on the contribution given enough demand from the wider community. If you'd like to see FAIM added to Fairlearn, please 👍 this issue.