2017-07-07 17:54:28 +04:00
|
|
|
from distutils.core import setup
|
2018-02-26 20:11:29 +04:00
|
|
|
|
2017-07-07 17:54:28 +04:00
|
|
|
setup(
|
2018-02-26 20:11:29 +04:00
|
|
|
name='pyFTS',
|
2018-02-26 20:29:11 +04:00
|
|
|
packages=['pyFTS', 'pyFTS.benchmarks', 'pyFTS.common', 'pyFTS.data', 'pyFTS.models.ensemble',
|
|
|
|
|
'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic',
|
2018-11-01 18:11:20 +04:00
|
|
|
'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate',
|
2018-12-24 16:37:23 +04:00
|
|
|
'pyFTS.models.incremental', 'pyFTS.hyperparam', 'pyFTS.distributed'],
|
2018-12-11 23:14:08 +04:00
|
|
|
version='1.4',
|
2018-02-26 20:11:29 +04:00
|
|
|
description='Fuzzy Time Series for Python',
|
|
|
|
|
author='Petronio Candido L. e Silva',
|
|
|
|
|
author_email='petronio.candido@gmail.com',
|
2018-10-29 23:48:05 +04:00
|
|
|
url='https://pyfts.github.io/pyFTS/',
|
2018-12-11 23:14:08 +04:00
|
|
|
download_url='https://github.com/PYFTS/pyFTS/archive/pkg1.4.tar.gz',
|
2018-02-26 20:11:29 +04:00
|
|
|
keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'],
|
2018-03-06 01:32:23 +04:00
|
|
|
classifiers=[
|
|
|
|
|
'Programming Language :: Python :: 3',
|
|
|
|
|
'Programming Language :: Python :: 3.4',
|
|
|
|
|
'Programming Language :: Python :: 3.5',
|
|
|
|
|
'Programming Language :: Python :: 3.6',
|
|
|
|
|
],
|
2018-10-29 23:48:05 +04:00
|
|
|
install_requires=['dill'],
|
2017-07-07 17:54:28 +04:00
|
|
|
)
|
