公开(公告)号：US20240152807A1

公开(公告)日：2024-05-09

申请号：US18398359

申请日：2023-12-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Shifu LI ,  Tianqing WANG ,  Wen NIE

IPC: G06N20/00 ,  G06F16/2455

CPC classification number: G06N20/00 ,  G06F16/24564

Abstract: A data processing method applied to a database system is disclosed. The method includes: obtaining a model training request, where the model training request includes a plurality of training samples and a model training policy, and the plurality of training samples is grouped into N training sample groups; generating an execution plan of the model training policy and an estimated execution cost of the execution plan executed by the database system; obtaining, based on the estimated execution cost, M training sample groups in the N training sample groups; training a to-be-trained model in parallel by using the M training sample groups, to obtain M pieces of parameter update data; and updating the to-be-trained model based on the M pieces of parameter update data, to obtain a trained model. This method reduces time overheads of the model training.