公开(公告)号：US11269911B1

公开(公告)日：2022-03-08

申请号：US16199115

申请日：2018-11-23

Applicant: Amazon Technologies, Inc.

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

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.

公开(公告)号：US11941016B2

公开(公告)日：2024-03-26

申请号：US17687492

申请日：2022-03-04

Applicant: Amazon Technologies, Inc.

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

IPC: G06F16/25 ,  G06F9/54 ,  G06N20/00

CPC classification number: G06F16/254 ,  G06F9/543 ,  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.

公开(公告)号：US20220261413A1

公开(公告)日：2022-08-18

申请号：US17687492

申请日：2022-03-04

Applicant: Amazon Technologies, Inc.

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

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.