Patent · US Active

Code generation for deployment of a machine learning model

US12131234B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

CAPITAL ONE SERVICES, LLC · US

Inventors

Yu Zhang · Mountain View, US
Anshuman Guha · Columbia, US
Kyle Moore · Greenville, US
Animesh Mod · Glen Allen, US
Christopher Bjorgolfsson · Glen Allen, US
Wenyan Huang · Fairfax, US
Lok Yi Lam · Richmond, US

Key dates

Filing date	Oct 28, 2020
Grant date	Oct 29, 2024
Priority date	—
Expiry date	Aug 24, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06F11/3692
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In some implementations, a system may receive a first set of files output based on a machine learning model that is trained using training data that includes a set of values, for each of multiple observations, that corresponds to a set of features. The system may receive a second set of files that includes information that identifies a set of valid values corresponding to the set of features. The system may generate, based on the first set of files and the second set of files, code for generating the output score from the trained model based on a set of input values that are input to the trained model. The system may deploy the code for execution in a computing environment.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.