Feature Description
Add support for structured hyperparameter tuning and parameter sweeps in the repo.
Use Case
This would make experiments easier to organize, reproduce, and compare across runs.
Alternatives Considered
Currently using manual scripts/configs for tuning and sweeps.
Additional Context
Could be implemented using existing libraries (e.g. Optuna or Bayesian methods) or a custom internal solution.
Feature Description
Add support for structured hyperparameter tuning and parameter sweeps in the repo.
Use Case
This would make experiments easier to organize, reproduce, and compare across runs.
Alternatives Considered
Currently using manual scripts/configs for tuning and sweeps.
Additional Context
Could be implemented using existing libraries (e.g. Optuna or Bayesian methods) or a custom internal solution.