Setup Hyperparameter Tuning in GitHub Actions
Imagine a repository with the structure shown in the editor. Your task is to finish the scaffolded .github/workflows/hp_cml.yaml
to accomplish the hyperparameter tuning and open a new pull request from a new training branch to main
that will run the training pipeline by reading best hyperparameters from rfc_best_params.json
.
By convention, hyperparameter tuning branches start with hp_tune/
and training branches start with train/
.
This exercise is part of the course
CI/CD for Machine Learning
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
