CML basic use case
This repository contains a sample project using CML. When a pull request is made in this repository, the following will occur:
- GitHub will deploy a runner machine with a specified CML Docker environment
- The runner will execute a workflow to train a ML model (
python train.py
) - A visual CML report about the model performance will be returned as a comment in the pull request
The key file enabling these actions is .github/workflows/cml.yaml
.
Secrets and environmental variables
The only environmental variable set in .github/workflows/cml.yaml
is GITHUB_TOKEN
, which is configured by default in every GitHub repository. No secrets must be set by the user.