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公开(公告)号:US10956132B1
公开(公告)日:2021-03-23
申请号:US16005372
申请日:2018-06-11
Applicant: Amazon Technologies, Inc.
Inventor: Donald Erik Schneider , David Said Martinez , Ryan Thomas , Alex Guazzelli , Fletcher Liverance , Stephanie Moyerman , Ramesh Sekaran , John Sitar
Abstract: Methods, systems, and computer-readable media for unified code and data management for machine learning models are disclosed. A plurality of dependency graphs, including a first dependency graph and a second dependency graph, are generated. The graphs comprise nodes associated with a software development model or machine learning model, and the nodes represent transforms. One or more transforms of the first dependency graph are used to generate first output corresponding to a node in the second dependency graph. One or more transforms of the second dependency graph are used to generate second output based at least in part on the first output.
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公开(公告)号:US10275506B1
公开(公告)日:2019-04-30
申请号:US14136940
申请日:2013-12-20
Applicant: Amazon Technologies, Inc.
Inventor: Donald Erik Schneider , Kieran Sean Fitzpatrick , Brian Mitchell Percival , Anne Randolph Marshall , Philip Daniel Piwonka
IPC: G06F17/30
Abstract: This disclosure describes devices, architectures, and techniques to coordinate data related to separate services to help create a more robust user experience for a user accessing either or both of the separate services. For instance, if the user currently accesses two separate services that relate to a common subject matter, techniques of this disclosure will provide data from one of the services when the user accesses the other. In one example, an activity feed that includes activities relating to both a first service and a second service may be generated and displayed to a user accessing the first service.
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公开(公告)号:US09830333B1
公开(公告)日:2017-11-28
申请号:US14318159
申请日:2014-06-27
Applicant: Amazon Technologies, Inc.
Inventor: Scott Daniel Wisniewski , Donald Erik Schneider , Mathew Persons Jack , Ajay Kumar Sarda , Timothy Zelinsky , Philip Daniel Piwonka , Jeetendra Mirchandani
CPC classification number: G06F17/30194 , G06F17/30578
Abstract: This disclosure relates to a geographically distributed, multi-master system for storing data records, and associated methods and computer-readable media for replicating data records across geographically distributed data stores of the system in a manner that achieves consistency between data stored in geographically distributed regions as well as deterministic data replication.
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