import setuptools

required = [
    "numpy>=1.14.6", "pandas>=0.25.*", "statsmodels>=0.10.*", "scikit-learn>=0.20.*"
]

extras = {
    'additional' : ["holidays>=0.9",'fbprophet>=0.4.*', 'fredapi', 'mxnet>=1.4.1', 'gluonts', 'tensorflow', 'xgboost']
}

with open("README.md", "r") as fh:
    long_description = fh.read()

setuptools.setup(
    name="AutoTS",
    version="0.2.1",
    author="Colin Catlin",
    author_email="colin.catlin@syllepsis.live",
    description="Automated Time Series Forecasting",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/winedarksea/AutoTS",
    packages=setuptools.find_packages(),
    license="MIT",
    include_package_data=True,
    install_requires = required,
    extras_require = extras,
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    python_requires='>=3.5',
)