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Fix Setup + Requirements #25

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Feb 21, 2020
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35 changes: 15 additions & 20 deletions requirements.txt
Original file line number Diff line number Diff line change
@@ -1,25 +1,20 @@
dill
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dask[dataframe]
numpy
six
scipy
numexpr
pytest
pytest-timeout
# coverage
coverage
pytest-cov
bigartm
codecov

pandas
tqdm
colorlover
coverage
dask
scikit_learn
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typing
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dask[dataframe]
dill
ipython
strictyaml
numexpr
numpy
pandas
plotly
colorlover
bigartm

pytest
pytest-cov
pytest-timeout
scikit-learn
scipy
six
strictyaml
tqdm
82 changes: 48 additions & 34 deletions setup.py
Original file line number Diff line number Diff line change
@@ -1,37 +1,51 @@
from distutils.core import setup

setup(
name = 'topicnet', # How you named your package folder (MyLib)
packages = ['topicnet', 'topicnet.cooking_machine', 'topicnet.cooking_machine.models', 'topicnet.cooking_machine.cubes', 'topicnet.viewers'], # Chose the same as "name"
version = '0.5.0', # Start with a small number and increase it with every change you make
license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository
description = 'TopicNet is a module for topic modelling using ARTM algorithm', # Give a short description about your library
author = 'Machine Intelligence Laboratory', # Type in your name
author_email = 'alex.goncharov@phystech.edu', # Type in your E-Mail
url = 'https://github.com/machine-intelligence-laboratory/TopicNet', # Provide either the link to your github or to your website
download_url = 'https://github.com/machine-intelligence-laboratory/TopicNet/archive/v0.5.0.tar.gz',
keywords = ['ARTM', 'topic', 'modelling', 'visualization'], # Keywords that define your package best
install_requires=[ # I get to this in a second
'numpy',
'six',
'scipy',
'numexpr',
'pytest',
'pandas',
'tqdm',
'dask',
'scikit_learn',
'typing',
'ipython',
'strictyaml',
'plotly',
'colorlover',
],
classifiers=[
'Development Status :: 4 - Beta', # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
'Intended Audience :: Developers', # Define that your audience are developers
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Information Analysis',
'License :: OSI Approved :: MIT License', # Again, pick a license
'Programming Language :: Python :: 3.6',
],
name = 'topicnet',
packages = [
'topicnet',
'topicnet.cooking_machine',
'topicnet.cooking_machine.cubes',
'topicnet.cooking_machine.models',
'topicnet.viewers'
],
version = '0.5.0',
license='MIT',
description = 'TopicNet is a module for topic modelling using ARTM algorithm',
author = 'Machine Intelligence Laboratory',
author_email = 'alex.goncharov@phystech.edu',
url = 'https://github.com/machine-intelligence-laboratory/TopicNet',
download_url = 'https://github.com/machine-intelligence-laboratory/TopicNet/archive/v0.5.0.tar.gz',
keywords = [
'ARTM',
'topic modeling',
'regularization',
'multimodal learning',
'document vector representation'
],
install_requires=[
'bigartm',
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'colorlover',
'dask',
'dill',
'ipython',
'numexpr',
'numpy',
'pandas',
'plotly',
'pytest',
'scikit-learn',
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'scipy',
'six',
'strictyaml',
'tqdm',
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Information Analysis',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
],
)