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
A pickle file (with xgboost) needs to be used for a what-if analysis. Please help me create a measure with the python script. @python @xgboost @ML
Solved! Go to Solution.
Hi @Anonymous
DAX is a "query language", whereas python is a "general purpose" programming language of course with great data processing support eg. pandas. Power BI doesn't support you to use python as a query by measure(dax) directly. You can load the python scripts into Power BI and than query the data model by measure(dax) in Power BI.
For reference: Run Python scripts in Power BI Desktop
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous
DAX is a "query language", whereas python is a "general purpose" programming language of course with great data processing support eg. pandas. Power BI doesn't support you to use python as a query by measure(dax) directly. You can load the python scripts into Power BI and than query the data model by measure(dax) in Power BI.
For reference: Run Python scripts in Power BI Desktop
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@Anonymous , You want to automate the proccess ?
Power BI Rest API and Power shell Cmdlets , but I doubt they have option to add measure.
If you want to pass to pythong visual, you can add that to values
The output form the xgboost has to be passed through two regression models, for which measures can be created with coefficients, before the final output is generated for the user.
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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 48 | |
| 45 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 64 | |
| 32 | |
| 31 | |
| 27 |