EASY DEPLOYMENT OF MACHINE LEARNING MODELS

EASY DEPLOYMENT OF MACHINE LEARNING MODELS

A machine learning model deployment tool can receive a trained machine learning model and driven by a series of user interfaces and by received user input from the user interfaces, can automatically generate machine learning model software and deploy it to a hosting environment. The deployment of a...

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Bibliographische Detailangaben
Hauptverfasser: BHATTACHARYA RITWIK, BILLING ALAN, ARDILA PEDRO, SHOROFF SRIKANTH, NARAYANAN VIJAY, SIROSH JOSEPH, BULUSU MOHAN KRISHNA
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A machine learning model deployment tool can receive a trained machine learning model and driven by a series of user interfaces and by received user input from the user interfaces, can automatically generate machine learning model software and deploy it to a hosting environment. The deployment of a machine learning model can be automated so that custom code does not have to be written by a human. Deployment can be to a single computing device, to a small scale service, to a small scale web service or to "the cloud", e.g., as a high-scale, fault-tolerant web service utilizing hundreds of computers. Deployment can be guided by a series of user interfaces.