2020-12-04 09:40:27 -08:00
|
|
|
import setuptools
|
|
|
|
import os
|
|
|
|
|
|
|
|
here = os.path.abspath(os.path.dirname(__file__))
|
|
|
|
|
2022-01-02 20:12:34 -05:00
|
|
|
with open("README.md", "r", encoding="UTF-8") as fh:
|
2020-12-04 09:40:27 -08:00
|
|
|
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 = [
|
2022-05-24 02:23:00 +08:00
|
|
|
"NumPy>=1.17.0rc1",
|
2020-12-04 09:40:27 -08:00
|
|
|
"lightgbm>=2.3.1",
|
2022-06-21 18:59:07 -07:00
|
|
|
"xgboost>=0.90",
|
2020-12-04 09:40:27 -08:00
|
|
|
"scipy>=1.4.1",
|
2021-10-10 22:57:22 -07:00
|
|
|
"pandas>=1.1.4",
|
2021-08-26 13:45:13 -07:00
|
|
|
"scikit-learn>=0.24",
|
2021-09-10 16:39:16 -07:00
|
|
|
]
|
2020-12-04 09:40:27 -08:00
|
|
|
|
|
|
|
|
|
|
|
setuptools.setup(
|
|
|
|
name="FLAML",
|
|
|
|
version=__version__,
|
|
|
|
author="Microsoft Corporation",
|
|
|
|
author_email="hpo@microsoft.com",
|
2021-12-16 17:11:33 -08:00
|
|
|
description="A fast library for automated machine learning and tuning",
|
2020-12-04 09:40:27 -08:00
|
|
|
long_description=long_description,
|
|
|
|
long_description_content_type="text/markdown",
|
|
|
|
url="https://github.com/microsoft/FLAML",
|
2021-09-11 21:19:18 -07:00
|
|
|
packages=setuptools.find_packages(include=["flaml*"]),
|
2022-05-31 04:52:27 +00:00
|
|
|
package_data={
|
|
|
|
"flaml.default": ["*/*.json"],
|
|
|
|
},
|
|
|
|
include_package_data=True,
|
2020-12-04 09:40:27 -08:00
|
|
|
install_requires=install_requires,
|
|
|
|
extras_require={
|
|
|
|
"notebook": [
|
|
|
|
"jupyter",
|
2021-11-03 19:08:23 -07:00
|
|
|
"matplotlib",
|
2022-12-06 10:13:39 -08:00
|
|
|
"openml==0.10.2",
|
2020-12-04 09:40:27 -08:00
|
|
|
],
|
2022-12-24 00:18:49 +08:00
|
|
|
"spark": [
|
|
|
|
"pyspark>=3.0.0",
|
|
|
|
"joblibspark>=0.5.0",
|
|
|
|
],
|
2020-12-04 09:40:27 -08:00
|
|
|
"test": [
|
|
|
|
"flake8>=3.8.4",
|
2022-10-09 13:18:15 -04:00
|
|
|
"thop",
|
2020-12-04 09:40:27 -08:00
|
|
|
"pytest>=6.1.1",
|
|
|
|
"coverage>=5.3",
|
2021-09-10 16:39:16 -07:00
|
|
|
"pre-commit",
|
2022-10-10 01:15:17 +00:00
|
|
|
"torch",
|
|
|
|
"torchvision",
|
2021-11-03 19:08:23 -07:00
|
|
|
"catboost>=0.26",
|
2020-12-15 08:10:43 -08:00
|
|
|
"rgf-python",
|
2021-07-24 20:10:43 -04:00
|
|
|
"optuna==2.8.0",
|
2022-11-27 11:22:54 -08:00
|
|
|
"openml==0.10.2",
|
2021-09-10 16:39:16 -07:00
|
|
|
"statsmodels>=0.12.2",
|
2021-11-03 19:08:23 -07:00
|
|
|
"psutil==5.8.0",
|
2021-11-16 14:06:20 -05:00
|
|
|
"dataclasses",
|
2023-02-17 18:52:36 -05:00
|
|
|
"transformers[torch]",
|
2021-12-20 17:19:32 -05:00
|
|
|
"datasets",
|
|
|
|
"nltk",
|
|
|
|
"rouge_score",
|
2022-01-07 02:12:38 -05:00
|
|
|
"hcrystalball==0.1.10",
|
2022-01-03 13:44:10 -05:00
|
|
|
"seqeval",
|
2022-11-27 11:22:54 -08:00
|
|
|
"pytorch-forecasting>=0.9.0,<=0.10.1",
|
|
|
|
"mlflow",
|
2022-12-24 00:18:49 +08:00
|
|
|
"pyspark>=3.0.0",
|
|
|
|
"joblibspark>=0.5.0",
|
|
|
|
"nbconvert",
|
|
|
|
"nbformat",
|
2023-01-07 18:39:29 -08:00
|
|
|
"ipykernel",
|
2023-02-16 15:38:50 -08:00
|
|
|
"pytorch-lightning<1.9.1", # test_forecast_panel
|
2021-02-05 21:41:14 -08:00
|
|
|
],
|
2021-11-03 19:08:23 -07:00
|
|
|
"catboost": ["catboost>=0.26"],
|
2021-09-10 16:39:16 -07:00
|
|
|
"blendsearch": ["optuna==2.8.0"],
|
2021-02-05 21:41:14 -08:00
|
|
|
"ray": [
|
2022-06-26 08:32:28 -07:00
|
|
|
"ray[tune]~=1.13",
|
2021-02-05 21:41:14 -08:00
|
|
|
],
|
|
|
|
"azureml": [
|
2021-02-28 12:43:43 -08:00
|
|
|
"azureml-mlflow",
|
2020-12-04 09:40:27 -08:00
|
|
|
],
|
2021-02-28 12:43:43 -08:00
|
|
|
"nni": [
|
|
|
|
"nni",
|
2021-04-06 11:37:52 -07:00
|
|
|
],
|
2021-06-02 22:08:24 -04:00
|
|
|
"vw": [
|
2022-08-15 23:16:11 -04:00
|
|
|
"vowpalwabbit>=8.10.0, <9.0.0",
|
2021-06-14 17:11:40 -04:00
|
|
|
],
|
2023-03-05 08:40:57 -08:00
|
|
|
"hf": [
|
|
|
|
"transformers[torch]==4.26",
|
|
|
|
"datasets",
|
|
|
|
"nltk",
|
|
|
|
"rouge_score",
|
|
|
|
"seqeval",
|
|
|
|
],
|
|
|
|
"nlp": [ # for backward compatibility; hf is the new option name
|
2023-02-17 18:52:36 -05:00
|
|
|
"transformers[torch]==4.26",
|
2022-01-05 13:49:12 -08:00
|
|
|
"datasets",
|
|
|
|
"nltk",
|
|
|
|
"rouge_score",
|
2022-06-26 08:32:28 -07:00
|
|
|
"seqeval",
|
2022-01-05 13:49:12 -08:00
|
|
|
],
|
2022-01-24 21:39:36 -05:00
|
|
|
"ts_forecast": [
|
2022-06-05 09:53:18 -07:00
|
|
|
"holidays<0.14", # to prevent installation error for prophet
|
|
|
|
"prophet>=1.0.1",
|
|
|
|
"statsmodels>=0.12.2",
|
|
|
|
"hcrystalball==0.1.10",
|
|
|
|
],
|
|
|
|
"forecast": [
|
|
|
|
"holidays<0.14", # to prevent installation error for prophet
|
2022-01-24 21:39:36 -05:00
|
|
|
"prophet>=1.0.1",
|
|
|
|
"statsmodels>=0.12.2",
|
|
|
|
"hcrystalball==0.1.10",
|
2022-08-12 11:39:22 -04:00
|
|
|
"pytorch-forecasting>=0.9.0",
|
2022-01-24 21:39:36 -05:00
|
|
|
],
|
2021-11-03 19:08:23 -07:00
|
|
|
"benchmark": ["catboost>=0.26", "psutil==5.8.0", "xgboost==1.3.3"],
|
2023-03-10 11:35:36 -08:00
|
|
|
"openai": ["openai==0.27.0", "diskcache", "optuna==2.8.0"],
|
2023-02-18 00:38:55 +08:00
|
|
|
"synapse": ["joblibspark>=0.5.0", "optuna==2.8.0", "pyspark>=3.0.0"],
|
2020-12-04 09:40:27 -08:00
|
|
|
},
|
|
|
|
classifiers=[
|
|
|
|
"Programming Language :: Python :: 3",
|
|
|
|
"License :: OSI Approved :: MIT License",
|
2021-04-08 09:29:55 -07:00
|
|
|
"Operating System :: OS Independent",
|
2020-12-04 09:40:27 -08:00
|
|
|
],
|
2022-06-26 08:32:28 -07:00
|
|
|
python_requires=">=3.6",
|
2020-12-04 09:40:27 -08:00
|
|
|
)
|