Systeme und Verfahren für Automatisiertes Maschinenlernen

Details

Veröffentlichungs-Nr.

EP4730210

Anmeldetag

14. August 2025

Veröffentlichung

22. April 2026

Rechtsraum

EP

IPC

G06N5/01, G06N20/20

Abstract

Embodiments of the present disclosure include techniques for automatically generating machine learning models. In one embodiment, sets of hyperparameters corresponding to machine learning models trained on one training data set are provided as an input. The hyperparameters are iteratively selected using an algorithm, such as a bandit algorithm, and used to train an ML model using another training data set. The performance of the trained ML model is evaluated on each iteration until the ML model performance is above a threshold. The resulting model may be used to train a resulting model. In some embodiments, ML models are combined across iterations to improve performance.

Anmelder

Firma

SAP SE

Land

🇩🇪 Deutschland