Running Hyperparameter tuning DVC pipelines
In this exercise, you will run the hyperparameter training and model training targets outlined in the dvc.yaml
pipeline. The dvc.yaml
file outlines the DVC workflow orchestrating the jobs and lists commands, dependencies, and outputs.
You will experiment with running these pipelines independently and observe the interaction between the two via the best parameter configuration file rfc_best_params.json
.
In your design, this file is meant to be edited manually for training jobs or, alternatively, as an output of a hyperparameter tuning job.
The dvc.yaml
file outlines the DVC workflow orchestrating the hyperparameter tuning and listings commands, dependencies, and outputs.
NOTE: You will start working on the main
branch. Git and DVC are already initialized for you.
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
