METHOD FOR TUNING HYPERPARAMETERS OF A MACHINE LEARNING MODEL

Abstract

According to one aspect, a method implemented by a computer system (SYS) of hyperparameters of a machine learning model is proposed. The computer system (SYS) comprises a processing unit (PU) configured to execute several processes in parallel. The method includes the execution of several independent hyperparameter search methods in different parallel processes of the processing unit (PU). The test results of hyperparameter combinations are stored in a shared memory of the computer system. Each process evaluates whether a searched hyperparameter combination has already been tested by another process based on the test results stored in memory, and incorporates these test results into its own test history if the searched hyperparameter combination has already been tested. Figure 1 (for the abstract)

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