Does Data Science notebooks in R support Experiments / MLFLOW

Hello,

Thank you for your reply.

The thing is, I do not have any clue on how to create models & experiments using R.

As you mentioned, MLFlow has a python and R API, so I would expect that it is possible to create experiments & models inside a R notebook.

However, when I try to call the API with the basic function that I mentioned in my original post, I do already receive an error.

In addition, when running the Fabric data science samples 'Customer Churn' and 'Fraud detection' both in python and R, it seems that only the python scripts do create expiriments and models within Fabric. The R sample notebooks don't do this, they create models and perform a prediction, but without creating the Fabric components 'Model' and 'Experiment'.

My receiving errors when trying to create experience & model Fabric components through code in R + the Fabric samples not creating those Fabric components either, I was wondering if mlflow is actually supported (currently) for R.

All documentation that I've read about Data Science don't really specify that Fabric experiments & models are not accessible through R and I do not see anything about it on the Fabric roadmap either. But I'm unable to get this working using R.

I hope this makes it more clear for you