公开(公告)号：US20240330774A1

公开(公告)日：2024-10-03

申请号：US18623615

申请日：2024-04-01

Applicant: STMicroelectronics International N.V.

Inventor： He Huang ,  Basile Wolfrom

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A computer-implemented method can be used for searching for an optimal hyperparameter combination for defining a machine learning model. The method includes performing tests of hyperparameter combinations. Each test of hyperparameter combination includes a training phase and a test phase. The training phase is adapted to train the machine learning model from training data and the test phase is adapted to calculate a performance score associated with the hyperparameter combination tested from test data. The optimal hyperparameter combination corresponds to the hyperparameter combination having obtained the best performance score among the hyperparameter combinations tested. A weighting coefficient is used for adjusting an amount of training data used for the training phase. The weighting coefficient is dynamically adapted during different tests of the hyperparameter combinations.