Invention Grant
- Patent Title: Machine learning based function testing
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Application No.: US16235516Application Date: 2018-12-28
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Publication No.: US11625641B2Publication Date: 2023-04-11
- Inventor: Cheryl Roberts
- Applicant: Esurance Insurance Services, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Esurance Insurance Services, Inc.
- Current Assignee: Esurance Insurance Services, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Polsinelli PC
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04

Abstract:
A method for determining the performance metric of a function may include interpolating the performance metric of the function relative to a known performance metric of a reference function. The performance metric of the function may be interpolated based on a first difference in a performance of the function measured by applying a first machine learning model and a performance of the function measured by applying a second machine learning model. The performance metric of the function may be further interpolated based on a second difference in a performance of the reference function measured by applying the first machine learning model and a performance of the reference function measured by applying the second machine learning model. The function may be deployed to a production system if the performance metric of the function exceeds a threshold value. Related systems and articles of manufacture, including computer program products, are also provided.
Public/Granted literature
- US20200210882A1 MACHINE LEARNING BASED FUNCTION TESTING Public/Granted day:2020-07-02
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