Keyeoh

Hi there, have there been any updates on this issue? In the [Clickhouse integrations' documentation](https://clickhouse.com/docs/en/integrations/dbt), I have seen the following:  Is this the recommended way to go? Does dbt...

Hi, Javascript is certainly not my strong point, but I have tried to fix those messages. I think I have succesfully managed to do it, although there might be some...

Hi @imatiach-msft , Thank you for your response. I understand the role of saveNativeModel() now. Very interesting indeed, as I sometimes switch to R in my projects. However, with respect...

Me again, I have been able to remote debug my training script in order to stop exactly at the point after training and just before saving the model to disk....

> > > @Keyeoh please run > > ``` > import mmlspark.train > ``` > > before loading so our loading monkeypatch can take effect. In the future this should...

> > > @Keyeoh strange, I have tried that and it seemed to work... does it work for you if you import lightgbm? For example: > > ``` > from...

> > > @Keyeoh sorry, I meant does the load method work if you first import lightgbm: > > ``` > foo = ml.PipelineModel.load('profiling/model') > ``` I am afraid it...

I have tested the code from @tkellogg and can confirm that my code is working now thanks to his context manager. Thanks a lot!

Hi and thanks for your answer! I have managed to circumvent this by passing the "env-file" parameter to docker through the mlflow run call. Actually, the use of env-file is...

Thanks for your answer, @simonpcouch! It does work out of the box. Problem is, and maybe I am missing something, I still cannot achieve what I thought at first (this...