pyFTS/setup.py
2024-08-07 11:18:21 +04:00

38 lines
1.6 KiB
Python

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'
]
)