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setup.py
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setup.py
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############################################################################################
#Copyright 2021 Google LLC
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
############################################################################################
import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="deep_autoviml",
version="0.0.85",
author="Ram Seshadri",
# author_email="[email protected]",
description="Automatically Build Deep Learning Models and Pipelines fast!",
long_description=long_description,
long_description_content_type="text/markdown",
license='Apache License 2.0',
url="https://github.com/AutoViML/deep_autoviml",
packages = [
"deep_autoviml",
"deep_autoviml.data_load",
"deep_autoviml.modeling",
"deep_autoviml.models",
"deep_autoviml.preprocessing",
"deep_autoviml.utilities",
],
include_package_data=True,
install_requires=[
"ipython",
"jupyter",
"tensorflow>=2.8.0,<=2.12.1",
"matplotlib>3.7.4",
"numpy>=1.24",
"pandas>=1.1.3, <2.0",
"scikit-learn>=0.24,<=1.2.2",
"regex",
"emoji",
"storm-tuner>=0.0.8",
"optuna",
"tensorflow_hub~=0.12.0",
"tensorflow-text>=2.8.0,<=2.12.1",
"tensorboard>=2.8.0,<=2.12.3",
"xlrd"
],
classifiers=[
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
],
)