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Evaluating Modifications to Features Used by Machine Learned Models Applied by an Online System

机译:评估对由在线系统应用的机器学习模型使用的功能的修改

摘要

An online system identifies an additional feature to evaluate for inclusion in a machine learned model. The additional feature is based on characteristics of one or more dimensions of information maintained by the online system. To generate data for evaluating the additional feature, the online system generates various partitions of stored data, where each partition includes characteristics associated with one or more dimensions on which the additional feature is based. Using values of characteristics in a partition, the online system generates values for the additional feature and includes the values of the additional feature in the partition. Values for the additional feature are generated for various partitions based on the values of characteristics in each partition. The online system combines multiple partitions that include values for the additional feature to generate a training set for evaluating a machine learned model including the additional feature.
机译:在线系统标识了附加功能,以评估是否包含在机器学习模型中。附加功能基于在线系统维护的信息的一个或多个维度的特征。为了产生用于评估附加特征的数据,在线系统生成所存储数据的各种分区,其中每个分区包括与附加特征所基于的一个或多个维度相关联的特征。在线系统使用分区中的特征值,为附加功能生成值,并将附加功能的值包含在分区中。根据每个分区中的特征值,为各个分区生成附加功能的值。在线系统组合了多个分区,这些分区包括附加功能的值,以生成训练集,用于评估包含附加功能的机器学习模型。

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