from setuptools import setup, find_packages

setup(
    name="hyperopt-gbt",
    version="0.1.0",
    author="HyperOpt-GBT Team",
    description="HyperOptimized Gradient Boosted Trees - combining best innovations from YDF, CatBoost, XGBoost, and LightGBM",
    url="https://huggingface.co/erinkhoo/hyperopt-gbt",
    packages=find_packages(),
    classifiers=[
        "Development Status :: 3 - Alpha",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: Apache Software License",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
    ],
    python_requires=">=3.8",
    install_requires=[
        "numpy>=1.20.0",
        "numba>=0.56.0",
        "scikit-learn>=1.0.0",
        "pandas>=1.3.0",
    ],
    extras_require={
        "benchmark": ["xgboost", "lightgbm", "catboost"],
        "dev": ["pytest", "black", "flake8"],
    },
)