Open-source machine learning experiment management platform for recording model training, parameters, metrics and model versions.
MLflow is an open-source machine learning lifecycle management platform for experiment tracking, model packaging, model registry, deployment and evaluation records. In research it is suited to saving the parameters, metrics, data versions and result files of each training run.
Use cases: machine learning experiment management, model version control, training records, reproducible research
