HYBRID MODEL AND ARCHITECTURE SEARCH FOR AUTOMATED MACHINE LEARNING SYSTEMS

A computer-implemented method of automatically generating a machine learning model includes identifying one or more visualization features of a dataset associated with a machine learning model selection process. A plurality of candidate machine learning pipelines are configured to perform respective...

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Bibliographic Details
Main Authors Katsis, Ioannis, Kate, Kiran A, Chen, Bei, Chaudhary, Arunima, Gan, Chuang, Wang, Dakuo, Valente, Abel
Format Patent
LanguageEnglish
Published 22.09.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:A computer-implemented method of automatically generating a machine learning model includes identifying one or more visualization features of a dataset associated with a machine learning model selection process. A plurality of candidate machine learning pipelines are configured to perform respective optimizing strategies in parallel based on the identified visualization features. A machine learning model is automatically generated based on at least one of the generated candidate machine learning pipelines.
Bibliography:Application Number: US202117207664