SEARCHING AN OPTIMAL COMBINATION OF HYPERPARAMETERS FOR A MACHINE LEARNING MODEL

    公开(公告)号:US20240330692A1

    公开(公告)日:2024-10-03

    申请号:US18612257

    申请日:2024-03-21

    CPC classification number: G06N3/09

    Abstract: According to one aspect, a method for searching, using a computer, for an optimal combination of hyperparameters allows an automatic learning model to be defined. The method includes several hyperparameter combination tests, each hyperparameter combination test including cross-validation, using a validation data set, the cross-validation defining several performance tests, each hyperparameter combination test being stopped if a performance test score is lower than a best score, the cross-validation further including updating the best score when all of the performance scores computed for this cross-validation are higher than the best score, the updated best score then corresponding to the lowest performance score from among the set of performance scores computed for this cross-validation.

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