from distutils.core import setup setup( name='pyFTS', packages=['pyFTS', 'pyFTS.benchmarks', 'pyFTS.common', 'pyFTS.data', 'pyFTS.models.ensemble', 'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic', 'pyFTS.tests', 'pyFTS.models.nonstationary'], package_data={'benchmarks': ['*'], 'common': ['*'], 'data': ['*'], 'models': ['*'], 'seasonal': ['*'], 'ensemble': ['*'], 'partitioners': ['*'], 'probabilistic': ['*'], 'tests': ['*']}, version='1.1.1', description='Fuzzy Time Series for Python', author='Petronio Candido L. e Silva', author_email='petronio.candido@gmail.com', url='https://github.com/petroniocandido/pyFTS', download_url='https://github.com/petroniocandido/pyFTS/archive/pkg1.1.1.tar.gz', keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'], classifiers=[], install_requires=[ 'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib' ], )