MLflow autolging is not registering my experiments

[espartaco]

When training a any ML model in a Databricks notebook, after calling model.fit() and train the model, before the model was automatically saved, but now is giving me this error:

WARNING mlflow.utils.autologging_utils: Encountered unexpected error during xgboost autologging: RESOURCE_DOES_NOT_EXIST: No experiment for node XXXXXXXXXXXXXX found. Use the default experiment for a notebook in a repo, or create an MLflow experiment in the workspace.

Any idea why I am getting this error? I have tried restarting the instance and nothing. 

[KumaranT]

Hi @espartaco,

The error message shows that there's an issue with SSL certificate verification when trying to connect to the Azure storage endpoint

Check network and firewall configurations: You need to ensure that the network and firewall configurations allow connections to the Azure storage endpoint. If behind a proxy, make sure to configure them correctly. Please contact Azure side.