Not able to run end to end ML project on Databricks Trial

Sri2025 — Wed, 16 Apr 2025 20:35:34 GMT

I started using Databricks trial version from today. I want to explore full end to end ML lifecycle on the databricks. I observed for the compute only 'serverless' option is available. I was trying to execute the notebook posted on https://docs.databricks.com/aws/en/mlflow/end-to-end-example. However, I am getting exception in the stage related to 'model registration' (

model_version = mlflow.register_model(f"runs:/{run_id}/random_forest_model", model_name)).

It is giving below error and the model is not getting registered -

ConnectionClosedError: Connection was closed before we received a valid response from endpoint URL: "https://s3.us-west-2.amazonaws.com/dbstorage-prod-ro8nd".

Can you please advise.

Re: Not able to run end to end ML project on Databricks Trial

Louis_Frolio — Thu, 17 Apr 2025 15:15:56 GMT

I can take up to 15 minutes for the serving endpoint to be created. Once you initiate the "create endpoint" chunk of code go and grab a cup of coffee and wait 15 minutes. Then, before you use it verify it is running (bottom left menu "Serving") by going to Serving menu and look for your endpoint and make sure it says it is running. Regards, Louis.

topic Re: Not able to run end to end ML project on Databricks Trial in Machine Learning

Not able to run end to end ML project on Databricks Trial

Re: Not able to run end to end ML project on Databricks Trial