Because of a faulty score.py file in my InferenceConfig, a Model.Deploy failed to Azure Machine Learning, using ACI. I wanted to create the endpoint in the cloud, but the only state I can see in the portal is Unhealthy. My local script to deploy the model (using ) keeps running, until it times out. (using the service.wait_for_deployment(show_output=True)statement).
Is there an option to get more insights in the actual reason/error message of the deployment turning "Unhealthy"?