Error Analysis with Azimuth

Azimuth is an open source application that helps AI practitioners and data scientists better understand their dataset and model predictions by performing thorough dataset and error analyses. The application leverages different tools, including robustness tests, semantic similarity analysis and saliency maps, unified by concepts such as smart tags and proposed actions. It currently only supports text classification use cases.

Fore more information, see the Azimuth GitHub and consult the Azimuth documentation.