Unable to Activate ML Model Endpoint

[TerrenceMitchel]

Have a simplified implementation of the Book Recommender ML Model using ALS.  Model has one version, and i can get predicdtions from the Notebook used to create it.

In the Fabric UI I've tried to Activate the Endpoint for Version 1, but the Status results in Failed after a few minutes of Activating Status.  Searching to find where the logs are has resulted in vauge and unuseful steps.

How can I see what went wrong with the Endpoint Activation?

Thanks.

[TerrenceMitchel · Accepted solution]

FWIW, I did happen across this paragraph in some documentation... perhaps the PySpark ALS simply isn't supported?

Limitations

• Endpoints are currently available for a limited set of ML model flavors, including Keras, LightGBM, Sklearn, and XGBoost.
• Endpoints currently aren't available for models with tensor-based schemas or no schemas.
• Endpoints currently aren't available for models with dependencies on private or internal packages.

[v-saisrao-msft]

Hi @TerrenceMitchel,

The reason you’re unable to activate the model endpoint is because of a current limitation in Microsoft Fabric (Preview).

For reference, please check the official documentation below:

Serve real-time predictions with ML model endpoints (Preview) - Microsoft Fabric | Microsoft Learn

Solved: Can not activate version endpoint ML - Microsoft Fabric Community

Thank you.

[TerrenceMitchel]

Thanks for confirming.