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Computer model machine learning based on correlations of traning data with performance trends

机译:基于培训数据与性能趋势相关的计算机模型机学习

摘要

Mechanisms are provided for training a computer implemented model. The mechanisms perform multiple instances of training of the computer implemented model, where each instance of training of the computer implemented model comprises training the computer implemented model using a different training data set to generate a different instance of a trained computer implemented model. The mechanisms generate computer implemented model results after each instance of training by executing the corresponding instance of the trained computer implemented model. The mechanisms record differences in the instances of training of the computer implemented model in association with corresponding identifiers of the instances of trained computer implemented model and corresponding computer implemented model results. The mechanisms analyze the recorded differences and the corresponding computer implemented model results, and generate an output indicating a correlation between recorded differences and corresponding computer implemented model results.
机译:提供机制用于培训计算机实现的模型。该机制执行计算机实现模型的多个训练实例,其中计算机实现的模型的每个实例包括使用不同的训练数据集来训练计算机实现的模型,以生成培训的计算机实现模型的不同实例。通过执行训练的计算机实现的模型的相应实例,该机制在每个实例之后生成计算机实现的模型结果。该机制在与训练计算机实现的模型的实例的相应标识符相关联的计算机实现模型的训练实例的差异记录了差异,并且相应的计算机实现了模型结果。该机制分析记录的差异和相应的计算机实现的模型结果,并生成指示记录的差异与相应计算机实现的模型结果之间的相关的输出。

著录项

  • 公开/公告号GB202112847D0

    专利类型

  • 公开/公告日2021-10-27

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号GB202112847

  • 发明设计人

    申请日2020-02-28

  • 分类号

  • 国家 GB

  • 入库时间 2022-08-24 21:54:08

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