Model construction operation service method and system under artificial intelligence framework
A service system and artificial intelligence technology, applied in the field of model construction and operation services, can solve the problems of large human resource consumption, low degree of automation, and high operating costs, and achieve the effect of reducing manual operations, simplifying the online process, and improving the efficiency of model deployment
Pending Publication Date: 2021-10-08
CHINA GUANGFA BANK
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[0003] There are deficiencies in the existing model construction and operation system, which are mainly reflected in the following points: 1. The model deployment process often requires more manual intervention, and the degree of automation is low. For models that have been optimized for multiple iterations, multiple deployment operations are required , Human resource consumption is large; 2. After the model is deployed and launched, the model information, model input and output blood relationship, model performance indicators, etc. have not formed a unified visual monitoring management, and the offline operation cost is high
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[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0051] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.
[0052] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...
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The invention provides a model construction operation service method and system under an artificial intelligence framework, and the method comprises the steps: obtaining a trained model, and carrying out the registration in a model operation service system according to the related parameters of the model; uploading a training code of the model to a GIT library in the model operation service system; enabling a model deployment module in the model operation service system to obtain a model code and deploy the model through the model code; performing model gray verification on the deployed model, and officially putting the successfully verified model on line; acquiring operation data of the model in real time, comparing the operation data with preset data, and judging whether the model declines or not; if yes, carrying out iterative optimization on the model; and if not, continuing to operate the model. According to the method, the model deployment online process is greatly simplified, the model deployment efficiency is improved, manual operation is reduced, and the model operation cost is reduced.
Description
technical field [0001] The present invention relates to the field of information technology, in particular to a model building operation service method and system under the framework of artificial intelligence. Background technique [0002] With the advent of the global artificial intelligence era, artificial intelligence technologies such as big data, machine learning, and deep learning have been widely used in various industries, and more and more models have been applied to business scenarios such as risk prevention and control and anti-fraud. During this process, a system of model construction and operation was gradually formed. Modelers in various industries carry out model training and development work on the modeling platform according to actual business scenarios. After completing the model training, the model is deployed online, and the model is put into production environment application through batch estimation or real-time estimation. At the same time, after the...
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IPC IPC(8): G06F8/35G06F8/60
CPCG06F8/35G06F8/60
Inventor 马海明付杰林惟栩肖文卫
Owner CHINA GUANGFA BANK