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
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