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LIME

Local interpretable model-agnostic explanations

CuratedExplainability & Alignment

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What it does

LIME (Local Interpretable Model-agnostic Explanations) is an open-source Python library (BSD-2-Clause) that explains individual predictions of any classifier. It perturbs an input, watches how the model's output changes and fits a simple linear model around that one example, showing which words, features or image regions drove the prediction. It works with text, tabular and image classifiers.

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Observability & Evals, starting with the other Explainability & Alignment.

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