Forum Discussion

bao_phan's avatar
bao_phan
Advocate II
1 year ago
Solved

Can not activate version endpoint ML

I have registered my ML model in fabric (free capacity) like in the image below. There are 2 versions of it, and i tried to activate the version endpoint so that I can call it in KQL eventhouse for s...
data science
experiment
ml model
  • bao_phan's avatar
    bao_phan
    1 year ago

    hi, i found the problem my own, i trained the spark model and save in mlflow but fabric have not support endpoint for this so i can not activate it. Thanks all

rohit1991's avatar
rohit1991
Super User
1 year ago

Hi bao_phan ,

This usually happens on Fabric Free Capacity because the ML endpoint feature has some limitations (resource, scaling, or admin restrictions). A few things to check:

  • Fabric Free Capacity: ML endpoints may not be fully supported or have limited availability on free workspaces. Upgrading to a paid capacity (F64 or higher) often resolves this.

  • Admin Portal Settings: Double-check that “ML endpoints” is enabled for your workspace and user permissions are correct.

  • Model Requirements: Ensure your model files (dependencies, environment YAMLs, etc.) are complete and compatible.

  • Logs: Look for detailed error logs or messages (sometimes available in the workspace activity or endpoint monitoring) to pinpoint the exact issue.

Since you can use the notebook to load the model, it’s likely a resource or permission limitation on the endpoint side.

Tip: Try deploying in a Pro or Premium workspace if possible.