René Bremer
1 min readJun 5, 2019

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Hi Zhang, another question, did you deploy your Azure Databricks and Machine Learning Service in different resource groups? If so, that went wrong.

I just created an additional parameter databricks_grp in project/services/10_prepEnvModelCreation.py to fix this such different resource groups can be used.

You need to delete your Azure Databricks compute in Machine Learning Service Workspace, add the new file project/services/10_prepEnvModelCreation.py to your project, fill in parameter databricks_grp and then rerun the pipeline. Let me know.

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René Bremer
René Bremer

Written by René Bremer

Data Solution Architect - sharing hands-on insights via this blog. Opinions here are mine.

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