MLflow

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. It allows data scientists and ML engineers to track experiments, package code into reproducible runs, and deploy models to various platforms. It's used by individuals and teams to streamline ML development and deployment.

Official docs: https://www.mlflow.org/docs/latest/index.html

MLflow Overview

• Experiment
  • Run
• Model
  • Model Version

Use action names and parameters as needed.

Working with MLflow

This skill uses the Membrane CLI to interact with MLflow. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.