LIME: How to Interpret Machine Learning Models With Python

The acronym LIME stands for Local Interpretable Model-agnostic Explanations. The project is about explaining what machine learning models are doing (source). LIME supports explanations for tabular models, text classifiers, and image classifiers (currently). In a nutshell, LIME is used to explain predictions of your machine learning model. The explanations should help you to understand why the model behaves the way it does.