pyFTS/setup.py
Petrônio Cândido fc2e118576 -Data folder
2018-02-26 15:57:59 -03:00

26 lines
1.2 KiB
Python

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_dir={}
package_data={'benchmarks': ['*'], 'common': ['*'], 'data': ['*'],
'models': ['*'], 'seasonal': ['*'], 'ensemble': ['*'],
'partitioners': ['*'], 'probabilistic': ['*'], 'tests': ['*']},
#data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
include_package_data=True,
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'
#],
)