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. 22, 2021

Filed:

May. 16, 2016
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Jordan M. Breckenridge, Menlo Park, CA (US);

Travis H. K. Green, New York, NY (US);

Robert Kaplow, New York, NY (US);

Wei-Hao Lin, New York, NY (US);

Gideon S. Mann, New York, NY (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06N 20/00 (2019.01); H04L 67/02 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training predictive models. Multiple training data records are received that each include an input data portion and an output data portion. A training data type is determined that corresponds to the training data. For example, a training data type can be determined by inputting the output data portions into one or more trained predictive classifiers. In other example, the training data type can be determined by comparison of the output data portions to data formats. Based on the determined training data type, a set of training functions are identified that are compatible with the training data of the determined training data type. The training data and the identified set of training functions are used to train multiple predictive models.


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