Get your project started with MLflow tracking.
What it does
Guides users through choosing an MLflow onboarding path and adding tracing or experiment tracking to their project.
When to use it
Use when the user wants to get started with MLflow, configure tracking, add observability, or integrate MLflow into a project.
How to use it
Give it a project to onboard; it offers a suitable tutorial or direct integration and asks for consent before changing code.
What you provide
- An existing project
Uses
What you need · 2
The Python integration uses the mlflow package for tracing, experiment configuration, and training instrumentation.
The GenAI verification path requires following this skill's verification workflow; the traditional ML path has separate verification instructions.
Access · 4
This skill
MLflow
Logs application and training data
MLflow documentation
Looks up MLflow guides