iRF:迭代随机森林（iRF）
迭代随机森林（iRF）
R包iRF实现了迭代随机森林，这是一种迭代增长加权决策树的集合，并通过分析决策路径上特征的使用来检测高阶特征交互的方法。 此版本使用Andy Liaw和Matthew Weiner的R包randomForest的源代码以及Leo Breiman和Adele Cutler的原始Fortran代码。
要下载并安装软件包，请使用devtools
library( devtools )
devtools :: install_github( " karlkumbier/iRF2.0 " )
或者，可以通过下载此存储库并使用以下命令来安装该软件包：
R CMD INSTALL iRF2.0
随后，您可以使用常用的R命令加载软件包：
library( iRF )
OSX用户可能需要安装gfortran进行编译。 可以使用以下命令完成此操作：
curl - OL
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