Create ML Workflows with MLflow and Docker
MLflow Introduction
MLflow is a widely used tool known for managing the life cycle of machine learning workflows for MLOps or data scientist. MLflow has several main components:
* Tracking: Record and query experiments: code, data, config, and results
* Project: Package data science code in a format to reproduce runs on