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:
Dec. 16, 2025

Filed:

Dec. 24, 2024
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Xindian Long, Cary, NC (US);

Liping Cai, Cary, NC (US);

Xingqi Du, McKinney, TX (US);

Steven Eric Krueger, Raleigh, NC (US);

Joshua David Griffin, Harrisburg, NC (US);

Yan Xu, Cary, NC (US);

Scott Russell Pope, Cary, NC (US);

Lawrence Edmund Lewis, Durham, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 20/20 (2019.01);
Abstract

A system, method, and computer-program product includes selecting, by a controller node, a plurality of candidate hyperparameter search points from a hyperparameter search space; instructing, by the controller node, one or more worker nodes to concurrently train a plurality of machine learning models for a target number of epochs using the plurality of candidate hyperparameter search points; identifying, by the controller node, a collection of intermediate candidate hyperparameter search points that outperform a remainder of the plurality of candidate hyperparameter search points by evaluating a performance of the plurality of machine learning models after training for the target number of epochs; and performing, by the controller node, a crossover operation with the collection of intermediate candidate hyperparameter search points to identify one or more new candidate hyperparameter search points to test in the hyperparameter search space.


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