Control of hyperparameter tuning based on machine learning

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United States of America Patent

PATENT NO 11809968
APP PUB NO 20210264199A1
SERIAL NO

16799227

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Abstract

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Systems, methods, articles of manufacture, and computer program products to: train a prediction model using a machine learning process, the prediction model configured to estimate whether further application of a hyperparameter tuning technique will cause an improvement in at least one of the hyperparameters; select the hyperparameters using the tuning technique; apply the prediction model to determine if further adjustment of the hyperparameters is likely to improve the success metric; and terminate the tuning technique when: accuracy of the prediction model in predicting improvement in a hyperparameter is above a predetermined accuracy threshold, and the prediction model predicts that further application of the tuning technique will not result in an improvement to the hyperparameter; or the accuracy of the prediction model in predicting improvement in the parameter is below the predetermined accuracy threshold, and an accuracy of hyperparameter adjustment is determined to be below a predetermined adjustment accuracy threshold.

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Patent Owner(s)

  • CAPITAL ONE SERVICES, LLC

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Goodsitt, Jeremy Edward Champaign, US 228 636
Truong, Anh Champaign, US 458 857
Walters, Austin Grant Savoy, US 182 610
Watson, Mark Louis Sedona, US 35 52

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