What are we tracking here?
You have learned how the use of automated experiment tracking help us tame the complexity related to the large space of choices we have when developing ML pipelines. You have learned about the different options, parameters, and metrics we can chose from in the different stages of a typical ML pipeline.
In this exercise we decide whether or not a series of entities should be logged and tracked by your automated experiment tracking system.
This exercise is part of the course
Fully Automated MLOps
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
