combo:常见贝叶斯优化
公共贝叶斯优化库（COMBO）
贝叶斯优化已被证明是加速科学发现的有效工具。 但是，标准实施方式（例如scikit-learn）只能容纳少量的培训数据。 COMBO具有高效的协议，因此具有很高的可扩展性，该协议采用了Thompson采样，随机特征图，一排Cholesky更新和自动超参数调整。 技术功能在进行了描述。
所需的包
的Python 2.7.x
numpy的> = 1.10
scipy> = 0.16
Cython> = 0.22.1
mpi4py> = 2.0（可选）
安装
1. Download or clone the github repository, e.g.
> git clone https://github.com/tsudalab/combo.git
2. Run setup.py install
> cd combo
> python setu
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明