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I am trying to use a model from one of the tutorials in Azure ML Services and I downloaded that data and out it into Power bi. I am then trying to use the model with the same data set I used to see if it works but I keep getting an error: Unable to parse the response from the Azure ML Web Service. i can't find any real documentation on this error or on how to use AzureMachine Learning in Power Bi Desktop. The error itself seems tedious rather than an obstacle due to service compatibility.
Having the same issue,is there any solution for this
Having the same issue while using the Azure Machine Learning functionality within Power BI desktop (most recent version). Regression model works like a charm. However, when connecting to a timeseries model I retreive the same error: Unable to parse the response from the Azure ML Web Service. All columns have been mapped and endpoint in ML studio is healthy. Did you find a solution for this?
Hi @israabuhasna ,
You could refer to power-bi-and-azure-ml-make-them-work-with-power-query ,visualizing-and-interacting-with-your-azure-machine-learning-studio-experiments and power-bi-azure-ml for details.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
All of it include needing the use of R script. Do we need to use the R script to include a azure model? Also all of them also show the use of Azure machine learning Studio vs the classic. The above was not a solution.
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