Closed eddableheath closed 11 months ago
@eddableheath I've worked through this and changed a few things, can have a chat when you're back. Mostly it was tweaking docs/names, but I also refactored the metric classes a bit so most parameters are given to the constructor rather than to the metric fitting methods (that's more inline with sklearn, for example).
All looks good, runs and tests locally with the new changes too!
This pull request refactors the experiment pipeline to be centered around models, with the following features:
New
run.py
script that allows for configs stating multiple models and random states.