Metadata-Version: 2.4
Name: evoboost
Version: 0.1.0
Summary: EvoBoost: A novel gradient boosting classifier and regressor by Sudip Barua
Home-page: https://osf.io/xxxxx
Author: Sudip Barua
Author-email: your@email.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
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# 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

```bash
pip install evoboost
```

## Usage

```python
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.*
