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公开(公告)号：US10339465B2
公开(公告)日：2019-07-02
申请号：US14463434
申请日：2014-08-19
Applicant: Amazon Technologies, Inc.
Inventor： Robert Matthias Steele , Tarun Agarwal , Leo Parker Dirac , Jun Qian
Abstract: During a training phase of a machine learning model, representations of at least some nodes of a decision tree are generated and stored on persistent storage in depth-first order. A respective predictive utility metric (PUM) value is determined for one or more nodes, indicating expected contributions of the nodes to a prediction of the model. A particular node is selected for removal from the tree based at least partly on its PUM value. A modified version of the tree, with the particular node removed, is stored for obtaining a prediction.
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