公开(公告)号：US11734614B1

公开(公告)日：2023-08-22

申请号：US16831569

申请日：2020-03-26

Applicant: Amazon Technologies, Inc.

Inventor： Yi Wang ,  Jiangtao Zhang

IPC: G06N20/20 ,  G06Q30/016 ,  G06N5/04

CPC classification number: G06N20/20 ,  G06N5/04 ,  G06Q30/016

Abstract: Techniques for creating an aggregated machine learning (ML) model from a plurality of candidate ML models are described. According to some embodiments, a machine learning service generates an aggregated machine learning model from a first machine learning model and a second machine learning model, selects the first machine learning model, the second machine learning model, or the aggregated machine learning model for usage, and performs an inference with the selected machine learning model. Additionally, a user may select the candidate models to be trained.