Fabric Semantic Link: Power BI as a Machine Learning Data Source

This video shows you how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development in Fabric Data Science.
Microsoft Fabric Semantic Link provides a way for Power BI models to be used as a data source for data scientists creating machine learning models.
This video is a walk-through of the following blog post: learn.microsoft.com/en-us/pyt...
Quick Links:
0:00 Introduction
1:09 Power BI Dashboard
1:46 Python Notebook
2:58 Connect to Fabric
3:52 List Power BI Measures
4:37 Query Power BI Data
6:41 Train the ML Model
8:55 Review Registered Model
9:48 Summary

[@user-em7xe9ec6r]

AWESOME

[@manu_pasta]

Thank you for this amazing demo ❤ I didn't know about python usage possibilities in Fabric 🔥

[@andreaaniello5729]

is it possible for the user to trigger the run of the Fabric notebook directly from the PowerBI report and then see the output of the notebook (for example, a feature importance chart) again in the PowerBI report?

[@khavea]

Is it possible do the same outside of the PBI workspace?

[@robkerrai]

According to the MSFT docs, Semantic Link is only supported within Fabric, so while SemPy could be used outside a Pandas notebook, it would still need to be within the context of Fabric.

[@adilmajeed8439]

thanks for sharing your video. is it possible to share the Retail Analysis Power BI dataset along with the measures so we can replicate the same at our side.

[@robkerrai]

This would be difficult to share as it has some content I don't own.