Description
Machine-learning experiments can be tracked, visualized, and compared through Weights and Biases tooling. This package records metrics, runs, artifacts, and configuration for research and model-development workflows.
It can upload experiment data to an online service and use account credentials. Review what metrics, files, model outputs, and dataset examples are logged before enabling tracking.