The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 13, 2024
Filed:
Jun. 23, 2023
Amazon Technologies, Inc., Seattle, WA (US);
Tanya Bansal, Seattle, WA (US);
Piali Das, Rutherford, NJ (US);
Leo Parker Dirac, Seattle, WA (US);
Fan Li, Bothell, WA (US);
Zohar Karnin, Hoboken, NJ (US);
Philip Gautier, New York, NY (US);
Patricia Grao Gil, Seattle, WA (US);
Laurence Louis Eric Rouesnel, New York, NY (US);
Ravikumar Anantakrishnan Venkateswar, Sammamish, WA (US);
Orchid Majumder, Bellevue, WA (US);
Stefano Stefani, Issaquah, WA (US);
Vladimir Zhukov, Seattle, WA (US);
Amazon Technologies, Inc., Seattle, WA (US);
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.