Invention Grant
- Patent Title: Separate deployment of machine learning model and associated embedding
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Application No.: US17165509Application Date: 2021-02-02
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Publication No.: US11803752B2Publication Date: 2023-10-31
- Inventor: Yongchao Liu , Sizhong Li , Guozhen Pan , Jianguo Xu , Qiyin Huang
- Applicant: Advanced New Technologies Co., Ltd.
- Applicant Address: KY George Town
- Assignee: Advanced New Technologies Co., Ltd.
- Current Assignee: Advanced New Technologies Co., Ltd.
- Current Assignee Address: KY George Town
- Agency: Seed IP Law Group LLP
- Priority: CN 1811522364.0 2018.12.13
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04

Abstract:
Implementations of the present specification provide a model-based prediction method and apparatus. The method includes: a model running environment receives an input tensor of a machine learning model; the model running environment sends a table query request to an embedding running environment, the table query request including the input tensor, to request low-dimensional conversion of the input tensor; the model running environment receives a table query result returned by the embedding running environment, the table query result being obtained by the embedding running environment by performing embedding query and processing based on the input tensor; and the model running environment inputs the table query result into the machine learning model, and runs the machine learning model to complete model-based prediction.
Public/Granted literature
- US20210158165A1 SEPARATE DEPLOYMENT OF MACHINE LEARNING MODEL AND ASSOCIATED EMBEDDING Public/Granted day:2021-05-27
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