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:
Jun. 14, 2022

Filed:

Jul. 28, 2021
Applicant:

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

Inventors:

Ryan Jeremy Parker, Raleigh, NC (US);

Clayton Adam Barker, Cary, NC (US);

Jeremy Ryan Ash, Raleigh, NC (US);

Christopher Michael Gotwalt, Raleigh, NC (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06K 9/00 (2022.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06K 9/0053 (2013.01); G06K 9/00516 (2013.01); G06K 9/6253 (2013.01); G06K 9/6256 (2013.01); G06K 9/6296 (2013.01);
Abstract

Graphical interactive model selection is provided. A response variable vector for each value of a group variable and an explanatory variable vector are defined. A wavelet function is fit to the explanatory variable vector paired with the response variable vector defined for each value of the group variable. Each fit wavelet function defines coefficients for each value of the group variable. A curve is presented for each value of the group variable and is defined by the plurality of coefficients of an associated fit wavelet function. An indicator is received of a request to perform functional analysis using the coefficients for each value of the of the group variable based on a predefined factor variable. A model is trained using the coefficients for each value of the group variable and a factor variable value associated with each observation vector of each plurality of observation vectors as a model effect.


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