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. 12, 2023

Filed:

Nov. 29, 2022
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Mark Austin, Allen, TX (US);

Lauren Savage, Santa Clara, CA (US);

Joshua Whitney, Richardson, TX (US);

Abhay Dabholkar, Allen, TX (US);

Vijayan Nagarajan, Plano, TX (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 18/2113 (2023.01); G06F 18/21 (2023.01); G06F 18/25 (2023.01); G06V 10/80 (2022.01); G06V 10/96 (2022.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 18/217 (2023.01); G06F 18/2113 (2023.01); G06F 18/251 (2023.01); G06V 10/80 (2022.01); G06V 10/96 (2022.01);
Abstract

Aspects of the subject disclosure may include, for example, receiving a plurality of proposed machine learning solutions to a machine learning problem including receiving, for each respective proposed machine learning solution of the plurality of proposed machine learning solutions, one or more of a machine learning model, a dataset and a data pipeline output; automatically determining hybrid solutions to the machine learning problem, including combining, by the processing system, at least one of a first component from a first proposed machine learning solution with at least one of a second component from a second proposed machine learning solution; and ranking the hybrid solutions including determining a log loss score for each hybrid solution and sorting the hybrid solutions according to the log loss score for each hybrid solution. Other embodiments are disclosed.


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