snapboost

Hetergeneous Newton Boosting Machine

Instead of using only decision trees as learners like XGBoost and LightGBM, HNBM uses a combination of decision trees and ridge regressors to learn more complicated patterns in data.

This project is published on PyPI. To install package, run:
```
pip install snapboost
```

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
snapboost		snapboost
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
README.md		README.md
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py