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公开(公告)号:US12293262B1
公开(公告)日:2025-05-06
申请号:US16585266
申请日:2019-09-27
Applicant: Amazon Technologies, Inc.
Inventor: Andrea Olgiati , Hyunsu Cho , Rahul Iyer , Laurence Louis Eric Rouesnel
Abstract: Techniques for adaptive machine learning training via in-flight feature modification are described. A training monitor captures training data during the training of a machine learning model, and a metric generator creates metrics such as feature importance metrics based on the data. A rule evaluation engine determines whether any modification conditions are met for any of the features based on the metrics, and based on such a determination can cause the in-flight training job to be modified.