Cannot run forecast on Python 3.12 (Dependency Deadlock with scikit-learn) #333

Hello team,

I am attempting to set up the project on a fresh macOS environment with Python 3.12. I've encountered a dependency deadlock that prevents the model from running.

The Issue:

• Python 3.12 requires scikit-learn >= 1.3 (older versions do not build).
• The pre-trained gradient boosting model downloaded by gb_loader appears to have been pickled with an older scikit-learn version (<1.3).
• When loading the model with scikit-learn >= 1.5, it throws: AttributeError: Can't get attribute '__pyx_unpickle_CyAbsoluteError' on <module 'sklearn._loss._loss' ...>

Steps to Reproduce:

• Clone repo on macOS (Python 3.12).
• Manually patch pyproject.toml to allow newer libraries (since numpy and scikit-learn requirements are too old for Py3.12).
• Run a basic forecast.

We likely need to re-pickle the gradient boosting models using a newer version of scikit-learn, or provide a separate model file for Python 3.12+ users.

I am happy to work on any potential fixes!