MLFlow

MLFlow: opensource platform for managing the end-to-end ML lifecycle components: 1.Tracking, 2.projects, 3.Models, 4.Model Registry. 1.MLflow Tracking: API and UI for logging parameter, metrics and artifacts a)Runs: individual executions of ML code b)Experiments: collection of related runs for comparison. c)Parameters: Key-value input to code d)Metrics: Numerical values that can be updated e)Artifacts: output files (models) …