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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.