SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL MANAGEMENT

In some aspects, the techniques described herein relate to a method including: providing, on a model serving platform, a plurality of production machine learning models and a plurality of shadow machine learning models; routing input data to the plurality of production machine learning models and to...

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Bibliographische Detailangaben
Hauptverfasser:	ROLLINS, John, THARPE, Roy, ARORA, Anupam, NELLURI, Venu, ARUMUGAM, Raj
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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Beschreibung
Zusammenfassung:	In some aspects, the techniques described herein relate to a method including: providing, on a model serving platform, a plurality of production machine learning models and a plurality of shadow machine learning models; routing input data to the plurality of production machine learning models and to the plurality of shadow machine learning models; receiving, at a model monitoring engine, production output data from a first production machine learning model of the plurality of production machine learning models; receiving, at the model monitoring engine, offline output data from a first shadow machine learning model of the plurality of shadow machine learning models; promoting the first shadow machine learning model to a production machine learning model based on the offline output data; and demoting the first production machine learning model based on the production output data.