MACHINE LEARNING MODEL GENERATION SYSTEM AND MACHINE LEARNING MODEL GENERATION METHOD

A machine learning model generation system stores training data and a plurality of candidate models being machine learning models as selection candidates, performs machine learning by having the training data input into the candidate models to generate a plurality of trained models being trained mac...

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Bibliographic Details
Main Author TSUYUKI, Masafumi
Format Patent
LanguageEnglish
Published 18.11.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:A machine learning model generation system stores training data and a plurality of candidate models being machine learning models as selection candidates, performs machine learning by having the training data input into the candidate models to generate a plurality of trained models being trained machine learning models, classifies the trained models into a plurality of groups based on similarity of an inference result output by each of the trained models, generates an index used to select the group for each of the groups and selects the group based on the index that is generated, and sets the trained model belonging to the group that is selected as the candidate model. The machine learning model generation system repeatedly executes a series of processing of generating the learning model, classifying the group, selecting the group, and setting the candidate model until the number of candidate models becomes a predetermined number or less.
Bibliography:Application Number: US202117190269