METHOD AND DEVICE FOR CREATING A SYSTEM FOR THE AUTOMATED CREATION OF MACHINE LEARNING SYSTEMS

verfasst von

Marius Lindauer, Arber Zela, Danny Oliver Stoll, Fabio Ferreira, Frank Hutter, Thomas Nierhoff

Abstract

Computer-implemented method for creating a system, which is suitable for creating in an automated manner a machine learning system for computer vision. The method includes: providing predefined hyperparameters; determining an optimal parameterization of the hyperparameters using BOHB (Bayesian optimization (BO) and Hyperband (HB)) for a plurality of different training data sets; assessing all optimal parameterizations on all training data sets of the plurality of different training data sets with the aid of a normalized metric; creating a matrix, the matrix including the evaluated normalized metric for each parameterization and for each training data set; determining meta-features for each of the training data sets; optimizing a decision tree, which outputs as a function of the meta-features and of the matrix which of the optimal parameterization using BOHB is a suitable parameterization for the given meta-features.

Organisationseinheit(en)

Fachgebiet Maschinelles Lernen

Externe Organisation(en)

Robert Bosch GmbH

Typ

Patent

Publikationsdatum

13.01.2022

Publikationsstatus

Veröffentlicht