AUTOMATIC DETECTION OF LEARNING MODEL DRIFT

AUTOMATIC DETECTION OF LEARNING MODEL DRIFT

Automatic detection of learning model drift is disclosed. A sidecar learning model receives operational input data submitted to a predictive learning model. The sidecar learning model was trained on a same training data used to train the predictive learning model. A deviation of the operational inpu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Erlandson, Erik J, Benton, William C
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Automatic detection of learning model drift is disclosed. A sidecar learning model receives operational input data submitted to a predictive learning model. The sidecar learning model was trained on a same training data used to train the predictive learning model. A deviation of the operational input data from the training data is determined. The sidecar learning model generates a drift signal that characterizes the deviation of the operational input data from the training data.