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公开(公告)号:US11699093B2
公开(公告)日:2023-07-11
申请号:US15872547
申请日:2018-01-16
Applicant: Amazon Technologies, Inc.
Inventor: Nagajyothi Nookula , Poorna Chand Srinivas Perumalla , Aashish Jindia , Danjuan Ye , Eduardo Manuel Calleja , Song Ge , Vinay Hanumaiah , Wanqiang Chen , Safeer Mohiuddin , Romi Boimer , Madan Mohan Rao Jampani , Fei Chen
CPC classification number: G06N20/00 , G06F9/5044 , G06F9/5066 , G06N5/022
Abstract: Techniques for generating and executing an execution plan for a machine learning (ML) model using one of an edge device and a non-edge device are described. In some examples, a request for the generation of the execution plan includes at least one objective for the execution of the ML model and the execution plan is generated based at least in part on comparative execution information and network latency information.
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公开(公告)号:US11487708B1
公开(公告)日:2022-11-01
申请号:US17095360
申请日:2020-11-11
Applicant: Amazon Technologies, Inc.
Inventor: Surbhi Dangi , Gopinath Duddi , Amit Gul Phagwani , Romi Boimer , Ronald Stephen Kyker
IPC: G06F16/14 , G06F16/248 , G06F17/14
Abstract: Techniques for visual data preparation are described. An interactive visual data preparation service provides a user with a graphical user interface that presents values from a sample taken of a dataset along with statistical information associated with those values. A user uses the graphical user interface to test out various transformations to the sample dataset by applying transformations and viewing near-immediate results of those transformations as applied to the sample. The desired set of transformations is represented as a recipe object, which can be used to perform data preparation against the overall dataset or other datasets on behalf of the user or other users.
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