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:
Jul. 25, 2023

Filed:

Oct. 21, 2021
Applicant:

Groupon, Inc., Chicago, IL (US);

Inventors:

Daniel David Kirsche, Chicago, IL (US);

Derrick C. Spell, Oswego, IL (US);

Bahador Nooraei Beidokht, Fairfield, CA (US);

Xiaohan Zeng, Chicago, IL (US);

Lingyong Wang, Evanston, IL (US);

Jae Young Chung, Cleveland Heights, OH (US);

Andrew Lisy, River Forest, IL (US);

Assignee:

GROUPON, INC., Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06N 20/00 (2019.01); G06F 9/54 (2006.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/54 (2013.01); G06F 9/541 (2013.01); G06N 3/088 (2013.01);
Abstract

Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning model lifecycle management. An example computing method includes receiving a machine learning model selection, a machine learning model experiment creation input, a machine learning model experiment run type, and a machine learning model input data path. The example method further includes determining a machine learning model execution engine based on the machine learning model experiment creation input and the machine learning model experiment run type. The example method further includes retrieving input data based on the machine learning model input data path. The example method further includes executing a machine learning model experiment based on the machine learning model execution engine, machine learning model experiment creation input, and the input data. The example method further includes generating one or more machine learning model scores based on the machine learning model experiment.


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