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1.发明公开公开(公告)号：US20240232526A1
公开(公告)日：2024-07-11
申请号：US18610140
申请日：2024-03-19
Applicant: Amazon Technologies, Inc.
Inventor： Cedric Philippe Archambeau , Sanjiv Ranjan Das , Michele Donini , Michaela Hardt , Tyler Stephen Hill , Krishnaram Kenthapadi , Pedro L Larroy , Xinyu Liu , Keerthan Harish Vasist , Pinar Altin Yilmaz , Muhammad Bilal Zafar
CPC classification number: G06F40/20 , G06F16/2246 , G06N5/01
Abstract: A determination is made that an explanatory data set for a common set of predictions generated by a machine learning model for records containing text tokens is to be provided. Respective groups of related tokens are identified from the text attributes of the records, and record-level prediction influence scores are generated for the token groups. An aggregate prediction influence score is generated for at least some of the token groups from the record-level scores, and an explanatory data set based on the aggregate scores is presented.
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2.发明授权公开(公告)号：US11977836B1
公开(公告)日：2024-05-07
申请号：US17535945
申请日：2021-11-26
Applicant: Amazon Technologies, Inc.
Inventor： Cedric Philippe Archambeau , Sanjiv Ranjan Das , Michele Donini , Michaela Hardt , Tyler Stephen Hill , Krishnaram Kenthapadi , Pedro L Larroy , Xinyu Liu , Keerthan Harish Vasist , Pinar Altin Yilmaz , Muhammad Bilal Zafar
CPC classification number: G06F40/20 , G06F16/2246 , G06N5/01
Abstract: A determination is made that an explanatory data set for a common set of predictions generated by a machine learning model for records containing text tokens is to be provided. Respective groups of related tokens are identified from the text attributes of the records, and record-level prediction influence scores are generated for the token groups. An aggregate prediction influence score is generated for at least some of the token groups from the record-level scores, and an explanatory data set based on the aggregate scores is presented.
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