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setup.py
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setup.py
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import setuptools
from distutils.core import setup
# read the contents of your README file
from pathlib import Path
this_directory = Path(__file__).parent
long_description = (this_directory / "docs/README.rst").read_text()
setup(
name = 'DeepSurrogatepin',
packages = ['model'],
version = '1.7',
license='MIT',
setup_requires=['wheel'],
description = 'Deep surrogate model for the probability of informed trading model',
long_description=long_description,
long_description_content_type='text/markdown',
author = 'Guillaume Pavé',
author_email = 'guillaumepave@gmail.com',
url = 'https://github.com/GuillaumePv/pin_surrogate_model',
# download_url = 'https://github.com/AntoineDidisheim/didipack/archive/v0.1.1.tar.gz', # I explain this later on
keywords = ['Machine learning, market microstructure'],
install_requires=[ # I get to this in a second
'numpy',
'pandas',
'tensorflow',
'tqdm',
'tensorflow_probability'
],
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
include_package_data=True,
package_data={'': ['./model_save/Layer_400_400_200_100_swish_Lr0_0005_ADAMoMSE_BATCH_256tr_size_3CM/*.p']},
)