/
setup.cfg
30 lines (29 loc) · 1000 Bytes
/
setup.cfg
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[metadata]
name = cdst
version = 0.1
author = Calvin Chan
author_email = calvin.chan@bayer.com
description = CDST is a collection of data science Python library developed by Calvin Chan at DSAA. It containing various data science toolsets mostly based on deep learning technique: General Scalable Deep Learning Fully Connected Network, Calvins Scalable Parallel Downsampler (CSPD), Ordinal Hyperplane Loss Classifier (OHPL)
long_description = file: README.md
long_description_content_type = text/markdown
url = https://github.com/Bayer-Group/cdst
project_urls =
Bug Tracker = https://github.com/Bayer-Group/cdst/issues
classifiers =
Programming Language :: Python :: 3
License :: OSI Approved :: BSD License
Operating System :: OS Independent
[options]
python_requires = >=3.8
setup_requires =
cython>="0.29.25"
install_requires =
numpy>="1.22.0"
scikit-learn
pandas
torch>="1.9.0"
skorch
ray>="1.12.0"
tensorboardX
gekko>="1.0.2"
tensorflow