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python-topic-model
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setup.py
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Dongwoo Kim
Example codes for GibbsLDA #4
10 фев 2016, 02:46
10 фев 2016, 02:46
7c15e06
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from setuptools import setup, find_packages # Always prefer setuptools over distutils from codecs import open # To use a consistent encoding from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the relevant file # with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f: # long_description = f.read() long_description = open('README.md').read() setup( name='ptm', # Versions should comply with PEP440. For a discussion on single-sourcing # the version across setup.py and the project code, see # https://packaging.python.org/en/latest/development.html#single-sourcing-the-version version='0.0.1', description='Probabilistic topic model', long_description=long_description, # The project's main homepage. url='https://github.com/arongdari/python-topic-model/', # Author details author='Dongwoo Kim', author_email='arongdari@gmail.com', # Choose your license license='Apache License 2.0', # See https://pypi.python.org/pypi?%3Aaction=list_classifiers classifiers=[ # How mature is this project? Common values are # 3 - Alpha # 4 - Beta # 5 - Production/Stable 'Development Status :: 3 - Alpha', # Indicate who your project is intended for 'Intended Audience :: Developers', 'Topic :: Software Development :: Build Tools', # Pick your license as you wish (should match "license" above) 'License :: OSI Approved :: Apache Software License', # Specify the Python versions you support here. In particular, ensure # that you indicate whether you support Python 2, Python 3 or both. # 'Programming Language :: Python :: 2', # 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', # 'Programming Language :: Python :: 3', # 'Programming Language :: Python :: 3.2', # 'Programming Language :: Python :: 3.3', # 'Programming Language :: Python :: 3.4', ], # What does your project relate to? keywords=['topic model', 'latent dirichelt allocation', 'hierarchical dirichlet process', 'lda', 'hdp'], # You can just specify the packages manually here if your project is # simple. Or you can use find_packages(). # packages=find_packages(exclude=['contrib', 'docs', 'tests*']), packages=find_packages(), # List run-time dependencies here. These will be installed by pip when your # project is installed. For an analysis of "install_requires" vs pip's # requirements files see: # https://packaging.python.org/en/latest/technical.html#install-requires-vs-requirements-files install_requires=['numpy', 'scipy', 'nltk', 'six',], # List additional groups of dependencies here (e.g. development dependencies). # You can install these using the following syntax, for example: # $ pip install -e .[dev,test] extras_require = { 'dev': [],#'check-manifest'], 'test': [],#'coverage'], }, # If there are data files included in your packages that need to be # installed, specify them here. If using Python 2.6 or less, then these # have to be included in MANIFEST.in as well. package_data={ # 'sample': ['package_data.dat'], }, # Although 'package_data' is the preferred approach, in some case you may # need to place data files outside of your packages. # see http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # In this case, 'data_file' will be installed into '<sys.prefix>/my_data' data_files=[],#('my_data', ['data/data_file'])], # To provide executable scripts, use entry points in preference to the # "scripts" keyword. Entry points provide cross-platform support and allow # pip to create the appropriate form of executable for the target platform. entry_points={ # 'console_scripts': [ # 'sample=sample:main', # ], }, )