Invention Grant
- Patent Title: Optimizing machine learning models with a device farm
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Application No.: US17183072Application Date: 2021-02-23
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Publication No.: US11315042B1Publication Date: 2022-04-26
- Inventor: Matthew Welsh , Jason Knight , Jared Roesch , Thierry Moreau , Adelbert Chang , Tianqi Chen , Luis Henrique Ceze , An Wang , Michal Piszczek , Andrew McHarg , Fletcher Haynes
- Applicant: OctoML, Inc.
- Applicant Address: US WA Seattle
- Assignee: OctoML, Inc.
- Current Assignee: OctoML, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Seed IP Law Group, LLP
- Main IPC: G06N20/00
- IPC: G06N20/00
Abstract:
A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
Public/Granted literature
- US11348036B1 Optimizing machine learning models with a device farm Public/Granted day:2022-05-31
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