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:
Aug. 23, 2022

Filed:

Mar. 25, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Haode Qi, Cambridge, MA (US);

Ming Tan, Malden, MA (US);

Ladislav Kunc, Cambridge, MA (US);

Saloni Potdar, Arlington, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06N 20/00 (2019.01); G06F 17/18 (2006.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2013.01); G06K 9/6256 (2013.01); G06N 3/084 (2013.01);
Abstract

Mechanisms are provided for optimizing an automated machine learning (AutoML) operation to configure parameters of a machine learning model. AutoML logic is configured based on an initial default value and initial range for sampling of a parameter of the machine learning (ML) model and an initial AutoML process is executed on the ML model based on a plurality of datasets comprising a plurality of domains of data elements, utilizing the initially configured AutoML logic. For each domain, a cross-dataset default value and cross-dataset value range are derived from results of the execution of the initial AutoML process. For each domain, an entry is stored in a data structure, the entry storing the derived cross-dataset default value and cross-dataset value range for the domain. The AutoML logic performs a subsequent AutoML process on a new dataset based on one or more entries of the data structure.


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