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setup.py
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import os
from setuptools import setup
required = [
'numpy',
'pandas',
'pyarrow',
'yfinance',
'scipy',
'PyWavelets',
'Sphinx',
'rinohtype',
'nbsphinx',
'pytest-dependency',
'scipy',
'matplotlib',
'sklearn',
'joblib'
]
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='time_series_transform',
version='1.1.3',
description = 'A data preprocessing package for time series data. It provides tools for machine learing and deep learning.It also has subsection specialized in stock.',
packages=[
'time_series_transform',
'time_series_transform/transform_core_api',
'time_series_transform/plot',
'time_series_transform/stock_transform',
'time_series_transform/stock_transform/stock_engine',
'time_series_transform/test',
'time_series_transform/io'
],
license='MIT',
author_email = '[email protected]',
url = 'https://github.com/allen-chiang/Time-Series-Transformer',
project_urls = {
'Source Code' : 'https://github.com/allen-chiang/Time-Series-Transformer',
'Documentation' : "https://allen-chiang.github.io/Time-Series-Transformer/"
},
download_url ='https://github.com/allen-chiang/Time-Series-Transformer/archive/1.1.2.tar.gz',
keywords = ['time series','stock', 'machine learning', 'deep learning'],
install_requires = required,
author = 'Kuan-Lun Chiang; Kuan-Yu Chiang',
long_description= long_description,
long_description_content_type='text/markdown',
classifiers=[
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'Programming Language :: Python',
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
)