Also known as: LIT
LIT, or Learning Interpretability Tool, is an interactive tool for analyzing and understanding machine learning model behavior. It supports activities such as inspecting examples, visualizing predictions, comparing model outputs, and diagnosing errors or biases.
A visual, interactive model-understanding and data visualization tool. You can use open-source LIT to interpret models or to visualize text, image, and tabular data.