Sankalp Gilda

I had the same issue-- standardizing the output sped up the process by a factor of ~100. On Sat, Oct 17, 2020, 1:50 AM mhnbitece wrote: > Hi Nick, >...

> In case it's useful, I've written a "native" [xgboost version of ngboost](https://github.com/CDonnerer/xgboost-distribution), implemented in the xgboost scitkit-learn API. Really cool library! Related question: does xgboost-distribution offer a gpu implementation...

Hey Christian, Really cool library! Related question: does xgboost-distribution offer a gpu implementation like xgboost, or nah? I'm assuming the relative performance numbers are for runs on the CPU, right?...

Hey! I am having the exact same issue, and I am not sure how to isolate the rows/samples causing this issue. My output label is min-max normalized from 0 to...

Using the latest release. Still the same issue. Are there locations in the code where I can put print statements so I know exactly what is going on that's resulting...

This is even more exarcebated when I used sample_weight. Are you sure that it has been correctly implemented?

> Also, if all you want are prediction intervals and you don't need the full conditional density you should use conformal inference instead: https://cdsamii.github.io/cds-demos/conformal/conformal-tutorial.html. Hey @alejandroschuler ! What do you...

Pretty much, yep. Yeah for sure! I'd love to give it a go. Already did this for `tsbootstrap`, should be easy enough to replicate here.

Yep, same issue

@fkiraly is this potentially solvable by using `uv`?