Snapboost

Heterogeneous Newton Boosting Machine using decision trees and kernel ridges as learners.

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/learn @samsonq/Snapboost

About this skill

Quality Score

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README

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.

Usage Instructions

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

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