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I have built an Azure Machine Learning Model and I have been able to connect it to a table in PBI. But, I don't just want the model to score the previously used data for building the model in the first place. I want to classify other combinations of the input variables (aka ... use the model the way models are intended to be used). So, I want to get input from the user while in the dashboard (all within the original limits of the input variables) and classify a new unknown combination of the input variables.
Actually, no. I am aware of those tutorials and actually used them to get "part" of the job done. Those tutorials only show you how to pull the AML model (Web service) into an existing PBI data set (all examples are actually the original data set used to build the model). This is not how models are used. We need to gather INPUT from the user in real time in a PBI dashboard. Then, push that input to a data set, then score using the AML model that was built.
Hi @Anonymous ,
Check below reference for help:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-first-experiment-automated-ml
Best Regards,
Kelly
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