SYSTEMS AND METHODS FOR PROGRAMMATICALLY WEIGHTING DISPARATE INPUTS TO OPTIMIZE A PREDICTIVE MODEL

SYSTEMS AND METHODS FOR PROGRAMMATICALLY WEIGHTING DISPARATE INPUTS TO OPTIMIZE A PREDICTIVE MODEL

Provided are systems and methods for programmatically weighting disparate inputs to optimize a predictive model. The predictive model may generate component weighted values associated with each disparate input to facilitate programmatic combination of the disparate inputs, and an aggregated weighted...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: McMILLAN, David Glenn, GORMAN, Edward, BECERRA, Manuel, McWILLIAMS, Gary
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Provided are systems and methods for programmatically weighting disparate inputs to optimize a predictive model. The predictive model may generate component weighted values associated with each disparate input to facilitate programmatic combination of the disparate inputs, and an aggregated weighted value may be generated from the combined component weighted values. Aggregated weighted values may be generated for a plurality of input sets, each of which may be programmatically scored relative to the remaining input sets. In some embodiments, the predictive model and an associated engine may be packaged for instantiation and execution on a local terminal.