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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

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