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setup.py
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from distutils.core import setup
import setuptools
with open('README.md') as readme_file:
readme_file.readline()
readme = readme_file.read()
exec(open('ktrain/version.py').read())
setup(
name = 'ktrain',
packages = setuptools.find_packages(),
package_data={'ktrain': ['text/shallownlp/ner_models/*']},
version = __version__,
license='Apache License 2.0',
description = 'ktrain is a lightweight wrapper for TensorFlow Keras to help train neural networks',
long_description = readme,
long_description_content_type = 'text/markdown',
author = 'Arun S. Maiya',
author_email = 'arun@maiya.net',
url = 'https://github.com/amaiya/ktrain',
keywords = ['tensorflow', 'keras', 'deep learning', 'machine learning'],
install_requires=[
'scikit-learn == 0.21.3',
'matplotlib >= 3.0.0',
'pandas >= 1.0.1',
'fastprogress >= 0.1.21',
'keras_bert',
'requests',
'joblib',
'langdetect',
'jieba',
'cchardet',
'networkx==2.3',
'bokeh',
'seqeval',
'packaging',
'tensorflow_datasets',
'transformers',
'ipython',
'syntok'
#'stellargraph>=0.8.2',
#'eli5 >= 0.10.0',
#'allennlp', # required for Elmo embeddings since TF2 TF_HUB does not work
#'pillow'
],
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 4 - Beta',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
# Pick your license as you wish
'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 :: 3.6',
'Programming Language :: Python :: 3.7',
],
)