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setup.cfg
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setup.cfg
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[metadata]
name = catpred
version = 0.0.1
author =
author_email =
license = MIT
description =
keywords =
protein language model
machine learning
enzyme function prediction
message passing neural network
url = https://github.com/maranasgroup/catpred/
download_url = https://github.com/maranasgroup/catpred/v_0.0.1.tar.gz
long_description = file: README.md
long_description_content_type = text/markdown
classifiers =
Programming Language :: Python :: 3
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
License :: OSI Approved :: MIT License
Operating System :: OS Independent
project_urls =
Documentation =
Source = https://github.com/maranasgroup/catpred
PyPi =
Demo = http://tiny.cc/catpred
[options]
packages = find:
install_requires =
flask>=1.1.2
hyperopt>=0.2.3
matplotlib>=3.1.3
numpy>=1.18.1
pandas>=1.0.3
pandas-flavor>=0.2.0
scikit-learn>=0.22.2.post1
scipy>=1.4.1
sphinx>=3.1.2
tensorboardX>=2.0
torch>=1.4.0
tqdm>=4.45.0
typed-argument-parser>=1.6.1
rdkit>=2020.03.1.0
descriptastorus
python_requires = >=3.7
[options.entry_points]
console_scripts =
catpred_train=catpred.train:catpred_train
catpred_predict=catpred.train:catpred_predict
catpred_fingerprint=catpred.train:catpred_fingerprint
catpred_hyperopt=catpred.hyperparameter_optimization:catpred_hyperopt
catpred_interpret=catpred.interpret:catpred_interpret
catpred_web=catpred.web.run:catpred_web
sklearn_train=catpred.sklearn_train:sklearn_train
sklearn_predict=catpred.sklearn_predict:sklearn_predict
[options.extras_require]
test = pytest>=6.2.2; parameterized>=0.8.1
[options.package_data]
catpred = py.typed