ClubberLang

I take no credit for this but a related question on stackoverflow generated this respone (the questions related to a train, validate, test split: This will split your dataframe into...

There’s a reference to minimum variance sampling here: https://catboost.ai/docs/concepts/algorithm-main-stages_bootstrap-options.html Although I think it just speeds up training rather than providing out of core training.

> Any chances of this getting traction Ditto. Any luck?

Hi thanks for the prompt response. After I posted this there did seem to be a commit which resolved most of the issues.m Two remain outstanding. See below ![cve 1...

> You are so right, fully agree. > > I am currently also working on combining XGBoostLSS and CatBoostLSS into one single python-library so that you can chose which boosting...

Ironically I had the same question. The documentation is not particularly clear in the case of LightGBM

If it's doable in PMML and Core ML it should be doable in ONNX

Would find this functionality very useful

I think this project died so I wouldn't expect an update. Shame as it seemed like a useful package

Thanks for the detailed response. Completely get the limitations/practicalities now.