mirror of
https://github.com/microsoft/autogen.git
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4a8110c87b
* pickle the AutoML object * get best model per estimator * test deberta * stateless API * Add Gitter badge (#41) * prevent divide by zero * test roberta * BlendSearchTuner Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com> Co-authored-by: The Gitter Badger <badger@gitter.im>
73 lines
1.7 KiB
Python
73 lines
1.7 KiB
Python
import setuptools
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import os
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here = os.path.abspath(os.path.dirname(__file__))
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with open("README.md", "r") as fh:
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long_description = fh.read()
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# Get the code version
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version = {}
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with open(os.path.join(here, "flaml/version.py")) as fp:
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exec(fp.read(), version)
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__version__ = version["__version__"]
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install_requires = [
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"NumPy>=1.16.2",
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"lightgbm>=2.3.1",
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"xgboost>=0.90",
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"scipy>=1.4.1",
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"catboost>=0.23",
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"scikit-learn>=0.23.2",
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],
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setuptools.setup(
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name="FLAML",
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version=__version__,
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author="Microsoft Corporation",
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author_email="hpo@microsoft.com",
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description="A fast and lightweight autoML system",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/microsoft/FLAML",
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packages=setuptools.find_packages(),
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install_requires=install_requires,
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extras_require={
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"notebook": [
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"openml==0.10.2",
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"jupyter",
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"matplotlib==3.2.0",
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"rgf-python",
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],
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"test": [
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"flake8>=3.8.4",
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"pytest>=6.1.1",
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"coverage>=5.3",
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"xgboost<1.3",
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"rgf-python",
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"optuna==2.3.0",
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],
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"blendsearch": [
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"optuna==2.3.0"
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],
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"ray": [
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"ray[tune]==1.2.0",
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"pyyaml<5.3.1",
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],
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"azureml": [
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"azureml-mlflow",
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],
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"nni": [
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"nni",
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]
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},
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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],
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python_requires=">=3.6",
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)
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