LIME: Local Interpretable Model-Agnostic Explanations

LIME (Local Interpretable Model-agnostic Explanations) is a Python library designed to explain individual predictions of machine learning classifiers and regressors. It works for tabular, text, and image data by building local, interpretable surrogate models around the instance to be explained. The current version is 0.2.0.1 and the library is actively maintained.