Christian Donnerer

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.

@alejandroschuler Thanks! Sure, I'll have a look at those discussions, there might be options to port those features across in a generic way. @astrogilda No GPU support for xgboost-distribution yet,...

Hi @davidADSP , I've written an xgboost "version" of ngboost, which allows to use monotonic constraints, [see example here](https://github.com/CDonnerer/xgboost-distribution#full-xgboost-features). While I fully agree with the above caveats, at least for...

Hi, Unfortunately, at the moment I do not have guidelines for contributions. This may change in the future, but right now the best way is to raise issues for feature...

Hi, Thanks for raising. Just to understand the use case, you would like to train xgboost distribution on datasets that do not fit in memory? I'll take a look into...

Hi, In terms of adding new distributions, the [ngboost docs offer info on what is in general required for a given distribution](https://stanfordmlgroup.github.io/ngboost/5-dev.html). However, it sounds like the use case here...

Hi @thomasaarholt , Thanks for flagging, this looks like a nice feature! Indeed, it appears that this will be included in the next version of xgboost, so I'll update then....

Hi, Thanks for raising / debugging. Does anyone have an example data set / method of fitting where this happens?

Thanks, appreciate this. I've got a slight preference for finding a public dataset, just so it's easier to add to the test suite, so I'll have look at this first...

Okay, I was able to reproduce the error with some datasets and merged a fix (#86) which is available in the latest release (`xgboost-distribution==0.2.7`). However, depending on the data, there...