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- import setuptools
- import os
-
- here = os.path.abspath(os.path.dirname(__file__))
-
- with open("README.md", "r") as fh:
- long_description = fh.read()
-
-
- # Get the code version
- version = {}
- with open(os.path.join(here, "flaml/version.py")) as fp:
- exec(fp.read(), version)
- __version__ = version["__version__"]
-
- install_requires = [
- "NumPy>=1.16.2",
- "lightgbm>=2.3.1",
- "xgboost>=0.90",
- "scipy>=1.4.1",
- "catboost>=0.23",
- "scikit-learn>=0.23.2",
- ],
-
-
- setuptools.setup(
- name="FLAML",
- version=__version__,
- author="Microsoft Corporation",
- author_email="hpo@microsoft.com",
- description="A fast and lightweight autoML system",
- long_description=long_description,
- long_description_content_type="text/markdown",
- url="https://github.com/microsoft/FLAML",
- packages=setuptools.find_packages(),
- install_requires=install_requires,
- extras_require={
- "notebook": [
- "openml==0.10.2",
- "jupyter",
- "matplotlib==3.2.0",
- "rgf-python",
- "vowpalwabbit",
- ],
- "test": [
- "flake8>=3.8.4",
- "pytest>=6.1.1",
- "coverage>=5.3",
- "xgboost<1.3",
- "rgf-python",
- "optuna==2.3.0",
- "vowpalwabbit",
- "openml",
- "transformers==4.4.1",
- "wandb==0.10.26",
- "torch==1.8.1",
- "datasets==1.4.1",
- "azure-storage-blob"
- ],
- "blendsearch": [
- "optuna==2.3.0"
- ],
- "ray": [
- "ray[tune]==1.2.0",
- "pyyaml<5.3.1",
- ],
- "azureml": [
- "azureml-mlflow",
- ],
- "nni": [
- "nni",
- ],
- "vw": [
- "vowpalwabbit",
- ],
- "nlp": [
- "ray[tune]>=1.2.0",
- "transformers",
- "datasets==1.4.1",
- "torch"
- ]
- },
- classifiers=[
- "Programming Language :: Python :: 3",
- "License :: OSI Approved :: MIT License",
- "Operating System :: OS Independent",
- ],
- python_requires=">=3.6",
- )
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