Amazon Technologies, Inc.

Patricia Grao Gil

Stefano Stefani

Leo Parker Dirac

Vladimir Zhukov

Tanya Bansal

Laurence Louis Eric Rouesnel

Orchid Majumder

Ravikumar Anantakrishnan Venkateswar

Philip Gautier

Fan Li

Piali Das

Zohar Karnin

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.

Automated machine learning pipeline exploration and deployment

Growing community of inventors

Seattle, WA, United States of America

Patricia Grao Gil