首页> 外国专利> METHOD FOR DESCRIBING PREDICTION MODEL, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING PREDICTION MODEL DESCRIPTION PROGRAM, AND PREDICTION MODEL DESCRIPTION DEVICE

METHOD FOR DESCRIBING PREDICTION MODEL, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING PREDICTION MODEL DESCRIPTION PROGRAM, AND PREDICTION MODEL DESCRIPTION DEVICE

机译:用于描述预测模型的方法,用于存储预测模型描述程序的非暂时性计算机可读存储介质,以及预测模型描述设备

摘要

A method includes: selecting a plurality of models by using data set and a prediction result of a prediction model for the data set, each model being configured to linearly separate data included in the data set input to the prediction model; creating a decision tree such that a leaf of the decision tree corresponds to each selected model and a node of the decision tree corresponds to each of logics classifying the data from a root to each leaf of the decision tree; specifying a branch to be pruned by using variation in the data belonging to each leaf of the created decision tree; recreating the decision tree by using the data set corresponding to the decision tree in which the specified branch has been pruned; and outputting each of the logics corresponding to each node of the recreated decision tree as a description result of the prediction model.
机译:一种方法包括:通过使用数据集选择多个模型和数据集的预测模型的预测结果,每个模型被配置为将包括在预测模型的数据集输入中的数据集中的线性分离。创建决策树,使得决策树的叶子对应于每个所选模型,并且决策树的节点对应于将数据从根到决策树的每个叶子对对应的每个逻辑;指定通过使用属于所创建的决策树的每个叶子的数据的变体来修剪分支的分支;使用与指定分支的决策树对应的数据集重新创建决策树;并将与重新创建的决策树的每个节点相对应的每个逻辑输出作为预测模型的描述结果。

著录项

  • 公开/公告号US2021133595A1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 FUJITSU LIMITED;

    申请/专利号US202017079687

  • 发明设计人 SHUNICHI WATANABE;YUSUKE OKI;

    申请日2020-10-26

  • 分类号G06N5/02;

  • 国家 US

  • 入库时间 2022-08-24 18:34:42

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号