Using TIM in Power BI
Before using TIM in Power BI, the following requirements should be met:
- You have installed the TIM Python Client and meet the requirements for using it.
- You have enabled Python scripting in Power BI Desktop.
- You have installed the following Python packages:
- Matplotlib (Pyplot)
- Squarify (used for visualisation of treemaps)
Find out how to use the TIM Python Client from within Power BI with the documentation for the Power BI Forecasting Template and the Power BI Anomaly Detection Template. These template apps handle RTInstantML forecasting, anomaly detection, and visualization of predictor importances. This is merely a selection of the functionalities that are supported by the TIM Python client. Take a look at the TIM Python Client documentation to learn more.