METHOD AND SYSTEM FOR AUTOMATICALLY TRAINING MACHINE LEARNING MODEL
A method and a system for automatically training a machine learning model. The method comprises: obtaining a data set comprising multiple data records (S310); determining a feature engineering strategy for the data set by means of meta-learning (S320); generating features related to each data record...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
09.11.2022
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Subjects | |
Online Access | Get full text |
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Summary: | A method and a system for automatically training a machine learning model. The method comprises: obtaining a data set comprising multiple data records (S310); determining a feature engineering strategy for the data set by means of meta-learning (S320); generating features related to each data record in the data set using the determined feature engineering strategy (S330); constructing machine learning samples on the basis of at least the generated features (S340); and using the constructed machine learning samples to train a machine learning model on the basis of the automatically obtained hyper-parameter values (S350). |
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Bibliography: | Application Number: EP20200823331 |