# LIME explanations for models
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-eval-metrics/run-lime.html

> Apply Local Interpretable Model-agnostic Explanations (LIME) to models built and deployed with DataRobot.

# LIME explanations for models

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/advanced_ml_and_api_approaches/LIME%20with%20DataRobot%20Models/LIME%20analysis%20with%20DataRobot.ipynb)

This accelerator shows how you 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.

The accelerator demonstrates how to:

- Connect to DataRobot using the API.
- Build and deploy a model in DataRobot.
- Execute LIME analysis with the deployed model.

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