MiroDudik on remove_security_md
MiroDudik on main
Remove SECURITY.md file and poi… (compare)
mainplease approve my PR fairlearn/fairlearn#694 @hildeweerts @adrinjalali @riedgar-ms @MiroDudik @mmadaio
With my PR on the correlation removed out there, I feel like I might start working on some educational content for fairlearn. My plan is to host it on https://calmcode.io but I imagine that content could be re-used on the docs as well.
There's one thing though, I don't have a clear intuition on how the
reductions actually work. The docs host an example that's a bit too theoretical for me to immediately get my head around ... so is there a call that I can join with a whiteboard soon-ish? I'm not sure if I'm the only one who feels this way, or if the usual meetings are the best place for this, but I'd certainly appreciate a better "paper-napkin"-level of intuition.
MetricFramewith sample parameters
model-card-toolkitis. Anybody here knows anything? Seems like there isn't really a community around it. I'm wondering if we have any contacts in the team that we could talk to, to see what their plans are. Also wondering if it makes sense or if there's enough support to actually fork it and create a community around it.
help wantedbut not all of them are good first issues, and we probably have many potential tasks that aren't listed as issues at all. If anyone has thoughts lmk!
The current iteration of the webpage is here: https://2469-133444044-gh.circle-artifacts.com/0/docs/_build/html/index.html
The use case text is to be slightly updated following https://github.com/fairlearn/fairlearn/pull/709#pullrequestreview-616285274
If you have any other suggestions how to improve the wording, please comment on the PR!
@LisaIbanez : When I tried to pare down the "fairness is sociotechnical section" the visual balance between the left and right column was off, so I'm in favor of keeping it for now. Is there some other useful information that we could add there instead?
load_bostonwith a full acknowledgement of the issues. It will be the first, to my knowledge, training material to do just that.
Behold! A scikit-learn tutorial that acknowledges the
load_boston issue. Available now ... on freecodecamp.
yarnchanged on the build machines:
countwhich may be a good start for you