XBNet/setup.py at master · tusharsarkar3/XBNet · GitHub

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import setuptools

with open("READ.md", "r") as fh:
	long_description = fh.read()

setuptools.setup(
	name="XBNet",

	version="1.4.6",

	author="Tushar Sarkar",

	author_email="tushar.sarkar@somaiya.edu",

	# #Small Description about module
	description="XBNet is an open source project which is built with PyTorch that works as a Boosted neural network for tabular data",

	long_description=long_description,
	long_description_content_type="text/markdown",

	url="https://github.com/tusharsarkar3/",
	packages=setuptools.find_packages(),


	# if module has dependecies i.e. if your package rely on other package at pypi.org
	# then you must add there, in order to download every requirement of package


		 install_requires=[
		"sklearn==0.0",
		"numpy == 1.22.0",
		"pandas == 1.3.3",
		"matplotlib==3.4.3",
		 "torch==1.9.0",
        "xgboost==1.4.2",
		"tqdm==4.62.2"

	],


	license="MIT",

	# classifiers like program is suitable for python3, just leave as it is.
	classifiers=[
		"Programming Language :: Python :: 3",
		"License :: OSI Approved :: MIT License",
		"Operating System :: OS Independent",
	],
)