MLflow is an innovative open-source platform designed to optimize and manage the entire machine learning lifecycle. Boasting four components, Tracking, Projects, Models, and Registry, MLflow makes it easier to record parameters, metrics, code versions, output files, utilize a command-line API, and deploy models into various serving environments. Along with real-time integration with Kubernetes, Google Cloud, and TensorFlow, users gain a unified experience of development, experimentation, deployment
