Metadata-Version: 2.1
Name: wedata3-automl
Version: 0.1.1
Summary: AutoML SDK for Tencent Cloud WeData using FLAML with MLflow integration.
Home-page: https://git.woa.com/WeDataOS/wedata-automl
Author: ZhangChunLin
Author-email: blueszzhang@tencent.com
License: MIT
Project-URL: Homepage, https://git.woa.com/WeDataOS/wedata-automl
Project-URL: Repository, https://git.woa.com/WeDataOS/wedata-automl.git
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: flaml (==2.3.6)
Requires-Dist: lightgbm (>=4.0.0)
Requires-Dist: xgboost (>=2.0.0)
Requires-Dist: prophet (>=1.1)
Requires-Dist: statsmodels (>=0.13)
Requires-Dist: holidays (>=0.25)
Requires-Dist: catboost (>=1.0.0)
Requires-Dist: scikit-learn (<1.7,>=1.5)
Requires-Dist: numpy (<3.0,>=1.24)
Requires-Dist: matplotlib (>=3.5)
Requires-Dist: seaborn (>=0.11)
Requires-Dist: mlflow (<3.11.0,>=3.10.0)
Requires-Dist: mlflow-tclake-plugin (<4.0.0,>=3.0.15)
Provides-Extra: full
Requires-Dist: xgboost (>=1.6) ; extra == 'full'
Requires-Dist: lightgbm (>=3.3) ; extra == 'full'
Requires-Dist: tencent-wedata-feature-engineering (>=0.1.36) ; extra == 'full'
Requires-Dist: shap (>=0.41) ; extra == 'full'
Requires-Dist: optuna (==4.6.0) ; extra == 'full'
Requires-Dist: flaml[spark] (==2.3.6) ; extra == 'full'
Requires-Dist: cachetools (>=5.0.0) ; extra == 'full'
Requires-Dist: tencentcloud-sdk-python-common (>=3.0.1478) ; extra == 'full'
Provides-Extra: lightgbm
Requires-Dist: lightgbm (>=3.3) ; extra == 'lightgbm'
Provides-Extra: shap
Requires-Dist: shap (>=0.41) ; extra == 'shap'
Provides-Extra: wedata
Requires-Dist: tencent-wedata-feature-engineering ; extra == 'wedata'
Provides-Extra: xgboost
Requires-Dist: xgboost (>=1.6) ; extra == 'xgboost'

# Wedata3-Automl

## 关于AutoML的使用
[automl使用说明](./src/README.md)

## AutoML的镜像制作

* [wedata-automl-image](https://git.woa.com/WeDataOS/wedata-automl-image/tree/master): 包含wedata2-automl和wedata3-automl
* [镜像部署文档](https://doc.weixin.qq.com/doc/w3_AHEA9waZAAoCN1isI7fQhSgqM0kA9?scode=AJEAIQdfAAoXqWKhWQAKEAFQaQACg)
* [流水线](https://zhiyan.woa.com/qci/9713/pipeline/#/pipeline/detail/11594595/build/current)

