Ressourcenbewusstes Automatisches Maschinenlernsystem

Details

Veröffentlichungs-Nr.

EP3805999

Aktenzeichen

EP20195020

Anmeldetag

8. September 2020

Veröffentlichung

4. Juni 2025

Erteilung

4. Juni 2025

Rechtsraum

EP

IPC

G06N3/082G06N3/126G06N3/0985G06N5/01G06N7/01// G06N3/12G06N3/04

Abstract

The present disclosure relates to a system, a method, and a product for optimizing hyper-parameters for generation and execution of a machine-learning model under constraints. The system includes a memory storing instructions and a processor in communication with the memory. When executed by the processor, the instructions cause the processor to obtain input data and an initial hyper-parameter set; for an iteration, to build a machine learning model based on the hyper-parameter set, evaluate the machine learning model based on the target data to obtain a performance metrics set, and determine whether the performance metrics set satisfies the stopping criteria set. If yes, the instructions cause the processor to perform an exploitation process to obtain an optimal hyper-parameter set, and exit the iteration; if no, perform an exploration process to obtain a next hyper-parameter set, and perform a next iteration with using the next hyper-parameter set as the hyper-parameter set.

Anmelder

Firma

Accenture Global Solutions Limited

Land

🇮🇪 Irland

Fachgebiete