RXGB: Random eXtreme Gradient Boosting
A bagging ensemble framework that combines Random Forest's bagging strategy with depth-constrained XGBoost learners as base estimators.
Overview
RXGB substitutes conventional decision trees in Random Forest with depth-constrained XGBoost learners. This combination simultaneously reduces bias and variance, which neither standalone Random Forest nor standalone XGBoost can achieve alone.
Installation
pip install rxgb
1 maintainer
Metadata
1 maintainer
Release files for rxgb 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| rxgb-0.1.0.tar.gz | 5.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rxgb-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.2 kB
Release files / rxgb-0.1.0.tar.gz
| Download URL | rxgb-0.1.0.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
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Release files / rxgb-0.1.0-py3-none-any.whl
| Download URL | rxgb-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
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