What is MLflow?

MLflow is an open source platform for managing the Machine Learning lifecycle from start to finish.

What does MLflow allows?

MLflow Tracking –

Monitoring experiments to record and compare parameters and results.

MLflow Projects –

Package ML code in a reusable and reproducible way to share with other data scientists or transfer to production.

MLflow Models –

Manage and deploy models from a variety of ML libraries to a variety of model serving and inference platforms.

MLflow Model Registry –

Provide a central model repository to collaboratively manage the entire lifecycle of an MLflow model, including model versioning, stage transitions, and annotations.


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