公开(公告)号：US20210097444A1

公开(公告)日：2021-04-01

申请号：US16587301

申请日：2019-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Tanya BANSAL ,  Piali DAS ,  Leo Parker DIRAC ,  Fan LI ,  Zohar KARNIN ,  Philip GAUTIER ,  Patricia GRAO GIL ,  Laurence Louis Eric ROUESNEL ,  Ravikumar Anantakrishnan VENKATESWAR ,  Orchid MAJUMDER ,  Stefano Stefani ,  Vladimir Zhukov

IPC: G06N20/20 ,  G06F9/50 ,  G06F9/54

Abstract: Techniques for automated machine learning (ML) pipeline exploration and deployment are described. An automated ML pipeline generation system allows users to easily construct optimized ML pipelines by providing a dataset, identifying a target column in the dataset, and providing an exploration budget. Multiple candidate ML pipelines can be identified and evaluated through an exploration process, and a best ML pipeline can be provided to the requesting user or deployed for production inference. Users can configure, monitor, and adapt the exploration at multiple points in time throughout.