PROVIDING A MACHINE LEARNING MODEL BASED ON DESIRED METRIC VALUES

The present disclosure relates to a method for generating a machine learning (ML) model. The method comprises: receiving a selection of a desired value of the metric for predicting a value of the first label attribute based on a current training dataset. Previously obtained sets of training settings...

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Bibliographic Details
Main Authors SOLTYSIK, Jan, RYSZKA, Daniel, CMIELOWSKI, Lukasz, SOBALA, Wojciech
Format Patent
LanguageEnglish
French
German
Published 03.07.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The present disclosure relates to a method for generating a machine learning (ML) model. The method comprises: receiving a selection of a desired value of the metric for predicting a value of the first label attribute based on a current training dataset. Previously obtained sets of training settings may be used for determining a set of training settings that corresponds to the desired value of the metric. A ML engine may be controlled to generate using the current training dataset a machine learning model according to the determined set of training settings. The generated machine learning model may be deployed for performing predictions of values of the first label attribute.
Bibliography:Application Number: EP20220769120