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.
Diese Übung ist Teil des Kurses
Fully Automated MLOps
Interaktive Übung
Setze die Theorie in einer unserer interaktiven Übungen in die Praxis um
