RESOURCE ALLOCATION OPTIMIZATION FOR MULTI-DIMENSIONAL MACHINE LEARNING ENVIRONMENTS

RESOURCE ALLOCATION OPTIMIZATION FOR MULTI-DIMENSIONAL MACHINE LEARNING ENVIRONMENTS

Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Redd, Jason, Chitkara, Shubham, Tallapaneni, Pothuraju, Chen, Xinyu, Ge, Katelyn, Shrivastava, Abhishek, Li, Yingbo, Manz, Boryana
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:Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.