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Online model maintenance time point analysis method and device, equipment and medium

A technology for maintaining time and analysis methods, applied in the direction of instruments, complex mathematical operations, data processing applications, etc., can solve problems such as the inability to predict the effect of online quality inspection models in advance, and achieve the effect of reducing computing resources

Pending Publication Date: 2022-01-11
PING AN BANK CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an analysis method, device, and computer-readable storage medium for an online model maintenance time point, the main purpose of which is to solve the problem that the effect of an online quality inspection model cannot be predicted in advance

Method used

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  • Online model maintenance time point analysis method and device, equipment and medium
  • Online model maintenance time point analysis method and device, equipment and medium
  • Online model maintenance time point analysis method and device, equipment and medium

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Embodiment Construction

[0055] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] The embodiment of the present application provides a method for analyzing the time point of online model maintenance. The executor of the method for analyzing the online model maintenance time point includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the analysis method of the online model maintenance time point can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server can be an independent server, or it can provide cloud serv...

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Abstract

The invention relates to an artificial intelligence technology, and discloses an online model maintenance time point analysis method, which comprises the steps of extracting a sample business set and a quality inspection label from a business database within the maintenance time of an online quality inspection model; performing quality detection on the sample business set by using an offline mirror image model of an online quality detection model to obtain a detection result set; comparing the quality inspection labels of the detection result set and the sample business set to obtain model accuracy; obtaining a model accuracy rate corresponding to each historical maintenance time in a historical time period, and fitting according to each model accuracy rate to obtain an accuracy rate regression curve; and calculating model prediction accuracy of the online quality inspection model at different time points by using the accuracy regression curve to obtain a maintenance time point. The invention further provides an online model maintenance time point analysis device, electronic equipment and a storage medium. The invention can accurately predict the necessary maintenance time of the online model.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular to an analysis method, device, electronic equipment, and computer-readable storage medium for an online model maintenance time point. Background technique [0002] Take the online quality inspection model for identifying whether the photo of the ID card is qualified as an example. The model parameters of the online quality inspection model usually change slowly over time. Functions are regularly tested to prevent model failure. [0003] At present, the inspection of the online quality inspection model can generally only detect whether the model is running normally, but cannot detect the change trend of the model effect. As a result, the model will automatically alarm when an accident occurs, which has a certain delay, and because it cannot be determined The downward trend of the model effect requires a higher frequency of model testing, which will waste ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/04G06F17/18
CPCG06Q10/20G06Q10/04G06F17/18
Inventor 李会璟
Owner PING AN BANK CO LTD
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