Easy automatic hyperparameter optimization algorithms and libraries for XGBoost and LightGBM.
Project description
Linora
Linora is a efficent machine learning hyper parameters automated tuning Library,supporting XGBoost、LightGBM、CatBoost and other algorithm that implement by sklearn.
| API Document | API文档 | 中文介绍 |
Installation
To install this verson from PyPI, type:
pip install linora
To get the newest one from this repo (note that we are in the alpha stage, so there may be frequent updates), type:
pip install git+git://github.com/Hourout/linora.git
Feature
-XGBoost
- Support XGBClassifier in RandomSearch、GridSearch
- Support XGBRegressor in RandomSearch、GridSearch
- Support XGBRanker in RandomSearch、GridSearch
- Support cpu、gpu
- Support fast search、k-fold search
-LightGBM
- Support LGBClassifier in RandomSearch、GridSearch
- Support LGBRegressor in RandomSearch、GridSearch
- Support LGBRanker in RandomSearch、GridSearch
- Support cpu、gpu
- Support fast search、k-fold search
Example
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