Hi,
I have deployed an Azure ML model on a REST API that I would like to connect to several What-If parameters to allow user inputs to be reflected in real-time on the Power BI dashboard.
Currently, I am able to make it work by running the REST API in Python scrips in individual visualizations, but the performance is bad since it requires initializations and replication of scripts/functions for each visualization. It is also difficult to edit and maintain each individual viz.
I had also tried to solve via pre-processing by computing output for all combinations of What-If parameters, but I have several (10+) parameters and precomputing the full range would generate more data than it is feasible.
Is there a less hacky way to do this, e.g integrate what-if parameters via the data pipelines?
Any help or direction would be appreciated!
