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Hello,
I have deployed an Azure ML model into Power BI desktop. The model successfully runs and scores my data set in Power BI desktop. I published it to the Power BI service and scheduled a daily auto refresh since we have a steady stream of data. However, only the data set refreshes but the model does not. The predicted value column is empty.
Any advice will help.
Thanks!
Solved! Go to Solution.
Hi @aragu
I would try the real-time endpoint as I think for PPU it can only use the default ML built into Power BI.
Hi @aragu
Can you confirm that the app workspace where you have deployed the dataset is premium per user or premium? It is required to use these AI features
Thanks @GilbertQ for the reply.
My license type is premium per user.
I deployed the Azure ML model as a web service. Should i deploy it as a real-time endpoint?
Essentially i have a steady stream of data that is being refreshed in Power BI. I would like that data in power BI to be sent to the model for predictions to happen and then the scored output is returned back to Power BI and then stored in the same dataset that has been created in power BI.
Hi @aragu
I would try the real-time endpoint as I think for PPU it can only use the default ML built into Power BI.
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