Rafal Paprocki

@veselink1 , how can I get to this feature? I have v 2.6.7.0

There is error that disappears quickly: > > 2022/07/27 13:31:29 INFO mlflow.tracking.fluent: Autologging successfully enabled for sklearn. > 2022/07/27 13:31:29 WARNING mlflow.utils.autologging_utils: Encountered unexpected error during spark autologging: Exception while...

same

so, temporary solution is to go to Azure AI studio, Deployments, and for each Edit deployment, Advanced, set "Tokens per Minute Rate Limit" from 120 to e.g. 2. Then deploy...