Invention Grant
- Patent Title: Using specified performance attributes to configure machine learning pipeline stages for an ETL job
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Application No.: US16199115Application Date: 2018-11-23
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Publication No.: US11269911B1Publication Date: 2022-03-08
- Inventor: Timothy Jones , Andrew Borthwick , Sergei Dobroshinsky , Shehzad Qureshi , Stephen Michael Ash , Pedrito Uriah Maynard-Zhang , Chethan Kommaranahalli Rudramuni , Abhishek Sharma , Juliana Saussy , Adam Lawrence Joseph Heinermann , Alaykumar Navinchandra Desai , Mehul A. Shah , Mehul Y. Shah , Anurag Windlass Gupta , Prajakta Datta Damle
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent Robert C. Kowert
- Main IPC: G06F16/25
- IPC: G06F16/25 ; G06F9/54 ; G06N20/00
Abstract:
Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.
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