公开(公告)号：US20220374682A1

公开(公告)日：2022-11-24

申请号：US17321709

申请日：2021-05-17

Applicant: SAP SE

Inventor： Anisoara NICA ,  Wanxin LI

IPC: G06N3/04 ,  G06F16/2455 ,  G06N3/08

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating synthetic data records with database constraints using generative adversarial networks (GAN). The method can include training, by using a generator loss function, a generator neural network of a generator model of the GAN to generate a scaling factor and a cluster vector for a datum of a continuous variable of a continuous column of a data table, and a datum for a categorical variable of a categorical column of the data table. The generator loss function includes a penalty component determined based on a set of data constraints related to the continuous column or the categorical column.