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The tests mostly revolve around ensuring correct setup of the config and making sure training/saving/loading/evaluating all models and (compatible) datasets with all (compatible) metrics for regression/classification works
Added/fixed code for simple regression datasets and models (regression wasn't used / tested too much before)
Added several util functions (mostly used only in unit testing for now)
Stricter and better asserts in config.py
Renamed datasets.py to datasets_dl.py and created datasets.py only for loading different datasets (for consistency with models.py and models_dl.py
Added a pre-push hook for automatically running tests before each hook (pre-commit would've been too frequent and slowed down development)