News for hackers. Stuff that matters.
Re:The Mythos of Model Interpretability in Machine Learning by danielmorozoff on Thursday July 19, 2018 @09:00AM (#17565778)
This is a very interesting notion, could you elaborate why convexity would be a candidate? Convexity defining a class is clear, but as a proxy for interpretability I have not heard this before. I would assume this would need some measure of degree of convexity - different than strong > strict > convex

There are no comments on this comment yet.