Charmed MLflow documentation

Charmed MLflow is a platform for managing the end-to-end Machine Learning (ML) lifecycle.

It provides tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models. It integrates with popular ML frameworks.

It also addresses a number of common ML challenges including collaboration, reproducibility, maintenance, organisation and scaling.

It is intended for data scientists and ML engineers, looking to optimise their ML workflows with charms.

In this documentation

Tutorial

Start here: a hands-on introduction to Charmed MLflow for newcomers

How-to guides

Step-by-step guides covering key operations and common tasks in Charmed MLflow

Explanation

Discussion and clarification of key Charmed MLflow concepts and features

Project and community

Charmed MLflow is an open-source project that values its community. We warmly welcome contributions, suggestions, fixes, and constructive feedback from everyone.