Parallele Entwicklung und Einsatz für Maschinenlernmodelle

Details

Veröffentlichungs-Nr.

EP3029614

Aktenzeichen

EP15003445

Anmeldetag

3. Dezember 2015

Veröffentlichung

24. Oktober 2018

Erteilung

24. Oktober 2018

Rechtsraum

EP

IPC

G06N3/04G06N3/08

Abstract

Example systems and methods of developing a learning model are presented. In one example, a sample data set to train a first learning algorithm is accessed. A number of states for each input of the sample data set is determined. A subset of the inputs is selected, and the sample data set is partitioned into a number of partitions equal to a combined number of states of the selected inputs. A second learning algorithm is created for each of the partitions, wherein each second learning algorithm receives the unselected inputs. Each of the second learning algorithms is assigned to a processor and trained using the samples of the partition corresponding to that algorithm. Decision logic is generated to direct each of a plurality of operational data units as input to one of the second learning algorithms based on states of the selected inputs of the operational data unit.

Anmelder

Firma

SAP SE

Land

🇩🇪 Deutschland

Fachgebiete