Description

Comet is a machine learning experimentation platform designed for data scientists. It enables users to track and compare machine learn model experiments (code, hyperparameters, metrics, predictions, dependencies, and system metrics), analyze and monitor models from training to production, build custom visualizations based on experiments and model data, as well as access data created during the experimentation process. Features include model production monitoring, reporting capability, team collaboration, model versioning, and community panels.