Comparing metrics across Git branches
In this exercise, you will use DVC for querying and comparing metrics across different branches. This functionality of DVC is helpful in making decisions about the quality of a machine learning model.
You will start in the main
branch, where a DVC pipeline has already been executed and results committed in Git. Your task would entail querying metrics in the main
branch. Then, you'll switch to a new training branch, change a hyperparameter, and execute the pipeline again, followed by comparing metrics with the main
branch.
This exercise is part of the course
CI/CD for Machine Learning
Hands-on interactive exercise
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