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Model output method and device for intelligent modeling, and storage medium

A model output and model technology, applied in the field of data processing, can solve the problems such as inability to update and iterate quickly, unsystematized, and inability to unify the modeling process.

Active Publication Date: 2018-06-15
CHINA PING AN PROPERTY INSURANCE CO LTD
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Problems solved by technology

[0004] In view of the deficiencies of the prior art above, the purpose of this application is to provide a model output method, device and storage medium for intelligent modeling, aiming at solving the problem of the inability to unify the modeling process, the inability to update and iterate quickly, and the fragmented problem

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  • Model output method and device for intelligent modeling, and storage medium
  • Model output method and device for intelligent modeling, and storage medium
  • Model output method and device for intelligent modeling, and storage medium

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Embodiment Construction

[0057] This application provides a model output method, device and storage medium for intelligent modeling. In order to make the purpose, technical solution and effect of this application clearer and clearer, the following describes this application in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0058] see figure 1 , is a flowchart of a preferred embodiment of the intelligent modeling model output method described in this application. Such as figure 1As shown, the model output method of the intelligent modeling includes the following steps:

[0059] Step S100, pre-establishing a model factor library used as an input factor for model training.

[0060] In this embodiment, the model factor library includes primary key information, risk subject, time dimension and loading environment; wherein, the pr...

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Abstract

The invention provides a model output method and device for intelligent modeling, and a storage medium. The method comprises the steps of pre-establishing a model factor library used as model traininginput factors; obtaining historical data, and training the historical data according to a preset modeling process, thereby obtaining a model training result; and if it is detected that survey task flow is received, performing function operation by taking the selected model factors in the model factor library and case data corresponding to the survey task flow as inputs of the model training result to obtain a score result corresponding to the survey task flow. According to the method, the model training result obtained by training according to an SMP is deployed; when the factors of the modelfactor library and the survey task flow are received by a model deployment platform, case risk scoring is performed directly by the model training result; and functions deployed in a model deploymentplatform can be subjected to optimization iteration at any time.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a model output method, device and storage medium for intelligent modeling. Background technique [0002] At present, when modeling in the property insurance industry, there is a lack of a standardized real-time deployment system for intelligent modeling. The products on the market often only have ETL (Extract-Transform-Load, that is, data warehouse technology, which is used to describe the transformation of data from The process of extracting, transforming, and loading from the source to the destination) and certain types of functions in the training model cannot cover the entire process. The modeling in the existing technology has the following problems: limited use scenarios of outsourcing (that is, ungrounded), high cost of outsourcing, long time consumption, single data source, not open source, few supporting algorithms, large performance attenuation, an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q40/08
CPCG06Q40/08G06F30/00
Inventor 申霁赵维
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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