Invention Grant
- Patent Title: Repairing machine learning pipelines
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Application No.: US17444498Application Date: 2021-08-05
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Publication No.: US11868166B2Publication Date: 2024-01-09
- Inventor: Julian Timothy Dolby , Jason Tsay , Martin Hirzel
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Joseph P. Curcuru
- Main IPC: G06F11/36
- IPC: G06F11/36 ; G06N20/00

Abstract:
In an approach to improve detecting and correcting errors in one or more machine learning pipelines. Embodiments comprise generating a plurality of test machine learning pipeline instances based upon a target machine learning pipeline and evaluating the plurality of test machine learning pipeline instances for failure in a task. Further, embodiments identify one or more root causes of error based upon the evaluated plurality of test machine learning pipeline instances and failure in the task, and create a remediated target machine learning pipeline based upon the identified one or more root causes of error. Additionally, embodiments output the remediated machine learning pipelines.
Public/Granted literature
- US20230059857A1 REPAIRING OF MACHINE LEARNING PIPELINES Public/Granted day:2023-02-23
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