This accelerator shows how users can apply Local Interpretable Model-agnostic Explanations (LIME) to models built and deployed with DataRobot. LIME serves as another method in your toolbox to explain model predictions, complementing the built-in DataRobot capabilities of XEMP and SHAP prediction explanations.
This notebook covers
- How to connect to DataRobot using the API
- Building and deploying a model in DataRobot
- Executing LIME analysis with the deployed model