ADAPTIVE DATA MODELS AND SELECTION THEREOF

Method(s), apparatus, and system(s) are provided for selecting a data model configuration for use in training predictive models comprise receiving two or more data model configurations, extracting a data model for each of the two or more data model configurations from a knowledge graph, generating a...

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Bibliographic Details
Main Authors HODOS, Rachel, CEDOZ, Pierre-Louis Maurice Valentin, NEIL, Daniel Lawrence, GAO, Yingkai
Format Patent
LanguageEnglish
Published 14.09.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Method(s), apparatus, and system(s) are provided for selecting a data model configuration for use in training predictive models comprise receiving two or more data model configurations, extracting a data model for each of the two or more data model configurations from a knowledge graph, generating a separate predictive model for each of the extracted data models, scoring the output of each separate predictive model based on a benchmark data set, and selecting at least one data model configuration of the two or more data model configurations based on the output scores.
Bibliography:Application Number: US202118040538