Patent · US Active

Transforming predictive models

US9280740B1 · kind B1 · utility

6Cited by

3References

20Claims

0Family size

Assignee

Bank of America Corporation · US

Inventors

Kasilingam Basker Laxmanan · West Chester, US
Yudong Chen · Westtown, US
Peng Song · Shangchuan, CN

Key dates

Filing date	Jan 12, 2015
Grant date	Mar 8, 2016
Priority date	—
Expiry date	Jan 12, 2035

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/20
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

According to one embodiment of the present disclosure, a system for translating a boosting algorithm includes an interface communicatively coupled to a processor. The interface is operable to receive a trained boosting model. The processor is operable to identify a plurality of split-node variables associated with the trained boosting model. Each of the plurality of split-node variables comprises a variable name, a cutoff point, and a weight. The processor may aggregate the split-node variables by variable name and cutoff point and then combine the weights of each of the plurality of split-node variables having the same variable name and cutoff point. The processor may then create a linear model based on the combined variables.

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