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模型可视化
nestedhyperboost
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项目作者：
nickkunz
项目描述 ：
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
高级语言：
Python
项目主页：
https://pypi.org/project/nestedhyperboost
项目地址:
git://github.com/nickkunz/nestedhyperboost.git
创建时间：
2020-03-05T22:30:53Z
项目社区：
https://github.com/nickkunz/nestedhyperboost
开源协议：
GNU General Public License v3.0
下载
Algorithms for Hyper-Parameter Optimization_1647674332922.pdf
CatBoost Gradient Boosting with Categorical Features Support_1647674332988.pdf
LightGBM A Highly Efficient Gradient Boosting Decision Tree_1647674333046.pdf
Making a Science of Model Search Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures_1647674333112.pdf
XGBoost A Scalable Tree Boosting System_1647674333164.pdf
Algorithms for Hyper-Parameter Optimization_1650273831930.pdf
CatBoost Gradient Boosting with Categorical Features Support_1650273832040.pdf
LightGBM A Highly Efficient Gradient Boosting Decision Tree_1650273832280.pdf
Making a Science of Model Search Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures_1650273832380.pdf
XGBoost A Scalable Tree Boosting System_1650273832490.pdf
