import setuptools setuptools.setup( name='pyFTS', install_requires=[ 'matplotlib', 'numpy', 'pandas'], packages=['pyFTS', 'pyFTS.benchmarks', 'pyFTS.common', 'pyFTS.common.transformations', 'pyFTS.data', 'pyFTS.models.ensemble', 'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic', 'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate', 'pyFTS.models.incremental', 'pyFTS.hyperparam', 'pyFTS.distributed', 'pyFTS.fcm'], version='1.7', description='Fuzzy Time Series for Python', long_description='Fuzzy Time Series for Python', long_description_content_type="text/markdown", author='Petronio Candido L. e Silva', author_email='petronio.candido@gmail.com', url='https://pyfts.github.io/pyFTS/', download_url='https://github.com/PYFTS/pyFTS/archive/pkg1.7.tar.gz', keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'], classifiers=[ 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.10', 'Programming Language :: Python :: 3.11', 'Intended Audience :: Science/Research', 'Intended Audience :: Developers', 'Intended Audience :: Education', 'Topic :: Scientific/Engineering', 'Development Status :: 5 - Production/Stable' ] )