Invention Grant
- Patent Title: Systems and methods for optimizing a machine learning model
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Application No.: US17658737Application Date: 2022-04-11
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Publication No.: US11615345B2Publication Date: 2023-03-28
- Inventor: Jason Lopatecki , Aparna Dhinakaran
- Applicant: ARIZE AI, INC.
- Applicant Address: US CA Mill Valley
- Assignee: ARIZE AI, INC.
- Current Assignee: ARIZE AI, INC.
- Current Assignee Address: US CA Mill Valley
- Agency: DLA Piper LLP (US)
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/00 ; G06N20/00

Abstract:
A system for optimizing a machine learning model. The machine learning model generates predictions based on at least one input feature vector, each input feature vector having one or more vector values; and an optimization module with a processor and an associated memory, the optimization module being configured to: create at least one slice of the predictions based on at least one vector value, determine at least one optimization metric of the slice that is based on at least a total number of predictions for the vector value, and optimize the machine learning model based on the optimization metric.
Public/Granted literature
- US20220309399A1 SYSTEMS AND METHODS FOR OPTIMIZING A MACHINE LEARNING MODEL Public/Granted day:2022-09-29
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