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Hello,
I have consulted the online documentation to learn how to build a model in Power BI
(https://docs.microsoft.com/en-us/power-bi/service-tutorial-build-machine-learning-model)
However, the last step make reference to using the scored output from the model in a Power BI report.
To use the scored output from your machine learning model you can connect to your dataflow from the Power BI desktop, using the Dataflows connector. The Online Visitors enriched Purchase Intent Prediction entity can now be used to incorporate the predictions from your model in Power BI reports.
Does someone could explain me what's the purpose of using the enriched data set in Power BI report as I don't know how is calculated the prediction scores.
Solved! Go to Solution.
HI @Anonymous ,
>>Does someone could explain me what's the purpose of using the enriched data set in Power BI report as I don't know how is calculated the prediction scores.
Maybe you can take a look at the following document about machine learning training:
Automated Machine Learning in Power BI#ml model training
For detailed machine process logic, you can contact Azure machine learning support to know more about it.
Regards,
Xiaoxin Sheng
HI @Anonymous ,
>>Does someone could explain me what's the purpose of using the enriched data set in Power BI report as I don't know how is calculated the prediction scores.
Maybe you can take a look at the following document about machine learning training:
Automated Machine Learning in Power BI#ml model training
For detailed machine process logic, you can contact Azure machine learning support to know more about it.
Regards,
Xiaoxin Sheng
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