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Online model training method and device

A model training and model technology, applied in the field of big data processing, can solve the problem that offline models cannot adapt well

Active Publication Date: 2021-02-09
DATACANVAS LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In occasions with high real-time requirements, online data changes rapidly, and offline models cannot be well adapted to such occasions

Method used

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  • Online model training method and device
  • Online model training method and device

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Embodiment Construction

[0061] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the following will clearly and completely describe the technical solutions of the embodiments of the present invention in conjunction with the drawings of the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention belong to the protection scope of the present invention.

[0062] Please refer to figure 1 , figure 1 It is a schematic flow chart of an online model training method according to an embodiment of the present invention, the method comprising:

[0063] Step S110, display the workflow configuration interface, and receive the input workflow configuration information;

[0064] Step S120, building a workflow according to the workflow configuration inf...

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Abstract

The invention provides an online model training method and device. Wherein, the online model training method includes: displaying a workflow configuration interface, receiving input workflow configuration information; building a workflow according to the workflow configuration information; performing online model training on a model to be trained based on the workflow to determine an updated Model parameters. The present invention can establish a workflow for online model training through the information configured on the workflow configuration interface, which simplifies the operation process and improves work efficiency; and based on the workflow, real-time streaming data is used for online model training, which can improve the performance of the model ; At the same time, the present invention manages and updates model parameters based on the parameter server, which can effectively utilize data and computing resources in the usage scenarios of massive real-time streaming data, and improve the efficiency of model training.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to an online model training method and device. Background technique [0002] With the development of artificial intelligence, modeling and machine learning have been carried out for various business scenarios, so various machine learning models are used in rich business scenarios. [0003] Traditional machine learning model training is based on offline data, and the trained model also reflects the characteristics of offline data. In occasions with high real-time requirements, online data changes rapidly, and offline models cannot be well adapted to such occasions. Contents of the invention [0004] In order to solve the above technical problems, the present invention provides an online model training method and device to enhance the real-time performance of model training. [0005] In order to solve the above technical problems, an embodiment of the present invention...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 卢军方磊杨睿辰
Owner DATACANVAS LTD