Gabor Gulyas
Gabor Gulyas
I really like the demo from @exclipy (and the explanation why it would be useful), although I think it would be better to see with active cases proposed by @alexeev...
I really like the charts (could have chosen a bit more different colours maybe?) I think the problem comes from the code: it assumes that only 1 source arrives and...
@ryan-wolbeck I can't figure out what's the deal with the failed checks. Nothing on Google that would help. `make: *** [lint] Error 1 Makefile:12: recipe for target 'lint' failed` And...
@alejandroschuler I would love to work on it. I'm going to read the papers and spend all the time needed to make it work!
@alejandroschuler I was thinking about focusing only on univariate distributions in regression for now. I'm not quite sure yet, but my idea is to implement a transformation function that is...
@alejandroschuler I might be still misunderstanding the paper, but from section 3 I still read that the transformation happens globally in the omnireg paper. In my understanding the algorithm operates...
@alejandroschuler I think the summary is accurate. This is my understanding of the process, with the reason why it should work. [NGBoost with normalizing flows.pptx](https://github.com/stanfordmlgroup/ngboost/files/6035743/NGBoost.with.normalizing.flows.pptx) And you asked earlier what...
Thanks, I'll get started then.
I didn't express it clearly but I proposed this branch as an alternative for logistic regression or any binary classifier. Therefore creating the Beta-Binomial would add no benefit for that...
@alejandroschuler I had many things on my plate, but I will find the time to do it in the upcoming days. Please keep it open for few days and I...