MLOps Tutorial #3: Track ML models with Git & GitHub Actions

Published: 17 August 2020
on channel: DVCorg

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In this tutorial, we'll compare ML models across two different Git branches of a project- and we'll do it in a continuous integration system (GitHub Actions) for automation superpowers! We'll cover:

Why comparing model metrics takes more than a git diff
How pipelines, a method for making model training more reproducible, help you standardize model comparisons across Git branches
How to display a table comparing model performance to the main branch in a GitHub Pull Request

** Need an intro to GitHub Actions and continuous integration? Check out the first video in this series! • MLOps Tutorial #1: Intro to Continuous Int... **

Helpful links:
Dataset: https://www.sciencedirect.com/science...
Code: https://github.com/elleobrien/farmer
DVC pipelines & metrics documentation: https://dvc.org/doc/start/data-pipeli...
CML project repo: https://github.com/iterative/cml
DVC Discord channel: / discord

🧑🏽‍💻 To learn more. about our tools, take our free online course at https://learn.iterative.ai

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