MLflow is an open-source platform for managing the complete machine learning lifecycle, including experimentation, reproducibility, and deployment. It provides tools to track experiments, package models, and deploy them in production environments.

Features of MLflow:

• Experiment tracking to log and compare results of machine learning models.
• Model registry for versioning, managing, and deploying ML models.
• Support for multiple machine learning libraries and frameworks.
• Scalable and flexible integration with cloud and on-premises environments.
• Comprehensive APIs and UI for streamlined workflow management.

To Check the version of MLflow mlflow --version