Sas Institute Inc.

David Rawlings Duling

James Allen Cox

Zheng Zhao

Warren Sarle

James Porter Carroll

Steve Michael Sparano

Martin D Tomasi

A computing device executes analytic source code published to it. A revision definition includes source code in a first programming language compiled using a first compiler. When the source code compilation is successful, the source code is parsed to define code elements, an integration function is generated, the integration function is compiled with the source code using a second compiler in a second programming language to define an executable, an entry point address to the generated integration function is retrieved from the defined executable, an incremented revision number and the entry point address are stored in a created revision data structure, and the created revision data structure is stored in a created module context data structure. The integration function maps first input and output parameters of the source code in the second programming language to second input and output parameters of the source code in the first programming language.

Analytic execution for automatic decision making

This disclosure describes a method, system and computer-program product for parallelized feature selection. The method, system and computer-program product may be used to access a first set of features, wherein the first set of features includes multiple features, wherein the features are characterized by a variance measure, and wherein accessing the first set of features includes using a computing system to access the features, determine components of a covariance matrix, the components of the covariance matrix indicating a covariance with respect to pairs of features in the first set, and select multiple features from the first set, wherein selecting is based on the determined components of the covariance matrix and an amount of the variance measure attributable to the selected multiple features, and wherein selecting the multiple features includes executing a greedy search performed using parallelized computation.

Systems and methods for providing a unified variable selection approach based on variance preservation

Growing community of inventors

Durham, NC, United States of America

David Rawlings Duling