Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
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
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.
| User | Count |
|---|---|
| 48 | |
| 46 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 70 | |
| 67 | |
| 32 | |
| 27 | |
| 26 |