multiclass-regression

Maxwell Dix-Matthews honours project in multicategory regression

TODO Project:

1. Add hyperparameter tuning with the digits dataset - this would be a proper case study
2. Run Kfolds for all datasets (5 results for ND and 5 result for other, try with multiple models too - this may make it more stable as it's got more options?)
3. Look for more datasets to run it with

TODO Code:

1. Look into R's official implementation of ND traversal
2. Move the cutoff function from model_functions.py to model.py
3. Make it possible to call a model in the exact same way as scikit
4. Performance testing with and without threading
5. Add unit tests
6. Upgrade to python 3.14 to avoid GIL
7. Add proper documentation around functions