Yep exactly! I’m not sure how complicated it would be to pull off. If someone
wouldn’t mind helping to get me pointed in the right direction I would be happy
to look into and contribute this functionality. I imagine this would be
implemented in the scheduler codebase and there would be some
Well, as you said, MLLib already supports GLM in a sense. Except they only
support two link functions - identity (linear regression) and logit
(logistic regression). It should not be too hard to add other link
functions, as all you have to do is add a different gradient function for
Poisson/Gamma,
