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Method and device for decision engine, machine readable storage medium and processor

A decision-making and engine technology, applied in the computer field, can solve the problem of few AI models

Pending Publication Date: 2022-03-22
CHINA CONSTRUCTION BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present application is to provide a method, device, machine-readable storage medium, and processor for a decision engine, aiming to solve the problem of fewer AI models supported by traditional decision engines in the prior art

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  • Method and device for decision engine, machine readable storage medium and processor

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Embodiment Construction

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the The specific implementation manners described are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.

[0067] It should be noted that if there are directional indications (such as up, down, left, right, front, back...) in the embodiment of the present application, the directional indications are only used to explain the p...

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Abstract

The embodiment of the invention provides a method and device for a decision engine, a machine readable storage medium and a processor. The method comprises the following steps: determining an external service scene and sample data selected based on an artificial intelligence AI model node in a decision engine; searching a first Docker mirror image corresponding to the service scene from a preset scene mirror image library; controlling the first Docker mirror image to model according to the sample data to obtain a model file; and controlling the first Docker mirror image to deploy the model file. AI model nodes are arranged in the decision engine, modeling and deployment are carried out in a Docker mirror image, a user can carry out operation on the AI model nodes, any AI model can be modeled and deployed through the Docker mirror image, the limitation that a traditional decision engine only supports an AI model in a PMML format is broken through, and the flexibility of the decision engine is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method, device, machine-readable storage medium and processor for a decision engine. Background technique [0002] Traditional business logic was initially implemented by embedding codes in a "hard-coded" manner. After the decision engine appeared, business logic rules can be developed through a graphical editor, including decision tables, decision trees, expert score cards, and other rules. Respond to business needs. For the established decision-making model, verify and analyze it through data simulation, and then publish the decision-making model file in the decision-making engine and take effect immediately. The decision engine receives data input, calculates according to the business logic defined by the decision model, and finally outputs the decision result. The introduction of the decision engine greatly reduces the development workload, and the business...

Claims

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Application Information

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IPC IPC(8): G06F8/61G06F9/50G06F16/21
CPCG06F8/63G06F16/212G06F9/5077
Inventor 缪敏鹏张发波徐佩钰李潇
Owner CHINA CONSTRUCTION BANK
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