- 专利标题: AUTOMATED ANALYSIS GENERATION FOR MACHINE LEARNING SYSTEM
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申请号: US17020299申请日: 2020-09-14
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公开(公告)号: US20220083881A1公开(公告)日: 2022-03-17
- 发明人: Arunima Chaudhary , Dakuo Wang , David John Piorkowski , Daniel M. Gruen , Chuang Gan , Peter Daniel Kirchner , Gregory Bramble , Bei Chen , Abel Valente , Carolina Maria Spina , John Thomas Richards , Abhishek Bhandwaldar
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06N20/00 ; G06N5/02
摘要:
An automated analytic tool (AAT) apparatus analyzes a machine learning system (MLS). The tool comprises a processor configured to receive experiment parameters associated with an experiment performed on the MLS, and captures information from a plurality of stages of the experiment. The information comprises information regarding MLS results and choices made during the experiment. The tool automatically revise the captured information into revised information utilizing a knowledge base comprising information from prior experiments. The tool then presents the revised information to a user.
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