Service processing method and device and electronic equipment

Abstract

The embodiment of the invention provides a service processing method and device and electronic equipment, and the method comprises the steps: building a plurality of model service units for building amodel service; editing management models corresponding to the plurality of model service units, wherein the management models are used for managing mutual communication states of the model service units during operation; and arranging the plurality of model service units and the management models corresponding to the model service units, and constructing the model service. According to the schemeprovided by the embodiment of the invention, the defect that the model service is single can be effectively avoided, the micro-service governance is supported, and the flexible deployment of the model service can be realized.

Description

technical field

[0001] The present application relates to the technical field of communications, and in particular to a service processing method, device and electronic equipment. Background technique

[0002] With the wide application of machine learning, how to efficiently deploy the trained machine learning model to the production environment as a model service is being supported by more and more tools. The formation of model service includes several links: data acquisition, data analysis, data deformation, data verification, data training, model creation, model verification, large-scale training, model release, service provision, model monitoring and logging. In the process, many machine learning tools provide different choices for model developers, and also bring different challenges to model deployment.

[0003] Traditional model deployment and runtime environment support have certain drawbacks, including:

[0004] 1. The model service application is monolithic and d...

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