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. 13, 2022

Filed:

Jan. 31, 2019
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Kevin Moore, San Francisco, CA (US);

Leah McGuire, Redwood City, CA (US);

Eric Wayman, San Francisco, CA (US);

Shubha Nabar, Sunnyvale, CA (US);

Vitaly Gordon, Sunnyvale, CA (US);

Sarah Aerni, San Francisco, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/048 (2013.01);
Abstract

Methods and systems are provided to determine suitable hyperparameters for a machine learning model and/or feature engineering process. A suitable machine learning model and associated hyperparameters are determined by analyzing a dataset. Suitable hyperparameter values for compatible machine learning models having one or more hyperparameters in common and a compatible dataset schema are identified. Hyperparameters may be ranked according to each of their respective influences on a model performance metrics, and hyperparameter values identified as having greater influence may be more aggressively searched.


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