USING LEARNED PHYSICAL KNOWLEDGE TO GUIDE FEATURE ENGINEERING

Embodiments for using learned physical knowledge to guide feature engineering in a computing environment by a processor. Physical knowledge data associated with a dataset may be learned. The physical knowledge data may be translated into a plurality of features for one or more automated feature engi...

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Bibliographic Details
Main Authors BA, Amadou, LYNCH, William Karol, VAN KESSEL, Theodore G, O'DONNCHA, Fearghal
Format Patent
LanguageEnglish
Published 04.05.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Embodiments for using learned physical knowledge to guide feature engineering in a computing environment by a processor. Physical knowledge data associated with a dataset may be learned. The physical knowledge data may be translated into a plurality of features for one or more automated feature engineering models to execute for one or more prediction and monitoring operations, wherein the plurality of features represent relationships between the physical knowledge data.
Bibliography:Application Number: US202117453121