The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 31, 2020

Filed:

Jan. 09, 2019
Applicant:

Sigopt, Inc., San Francisco, CA (US);

Inventors:

Patrick Hayes, San Francisco, CA (US);

Michael McCourt, San Francisco, CA (US);

Alexandra Johnson, San Francisco, CA (US);

George Ke, San Francisco, CA (US);

Scott Clark, San Francisco, CA (US);

Assignee:

SigOpt, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2019.01); G06N 20/00 (2019.01); G06F 9/54 (2006.01); G06N 20/20 (2019.01); G06N 5/00 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/54 (2013.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01); G06N 20/20 (2019.01); G06N 99/00 (2013.01);
Abstract

A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.


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