EvoBoost
Inventor: Sudip Barua
EvoBoost is a next-generation machine learning algorithm that extends gradient boosting by introducing probabilistic residuals and interpretable updates for classification and regression.
Installation
pip install evoboost
Usage
from evoboost import EvoBoostClassifier
model = EvoBoostClassifier()
model.fit(X_train, y_train)
preds = model.predict(X_test)
Citation
EvoBoost is a novel gradient boosting algorithm developed by Sudip Barua in 2025.
Citation information will be added here once the academic paper is officially published.
1 maintainer
Metadata
1 maintainer
Release files for evoboost 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| evoboost-0.1.0.tar.gz | 3.4 kB | Without provenance | Details for evoboost-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| evoboost-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for evoboost-0.1.0-py3-none-any.whl |
Total release size: 7.1 kB
Release files / evoboost-0.1.0.tar.gz
| Download URL | evoboost-0.1.0.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
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Release files / evoboost-0.1.0-py3-none-any.whl
| Download URL | evoboost-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.5
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