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Factor screening method, device, equipment and medium based on connectivity graph

A screening method and connected graph technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as weak interpretability and the inability of random forest models to eliminate relevant factors, achieving strong interpretability and avoiding data redundancy. The effect of improving the construction efficiency

Active Publication Date: 2021-04-02
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, the random forest model is mainly used for factor screening, but the random forest model cannot eliminate factors with strong correlation, and the interpretability is weak

Method used

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  • Factor screening method, device, equipment and medium based on connectivity graph
  • Factor screening method, device, equipment and medium based on connectivity graph
  • Factor screening method, device, equipment and medium based on connectivity graph

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Embodiment Construction

[0060] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0061] Such as figure 1Shown is a flow chart of a preferred embodiment of the factor screening method based on the connectivity graph of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0062] The factor screening method based on the connectivity graph is applied to one or more electronic devices, and the electronic device is a device that can automatically perform numerical calculation and / or information processing according to preset or stored instructions, and its hardware Including but not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Program...

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Abstract

The present invention relates to the field of artificial intelligence, and provides a factor screening method, device, equipment and medium based on a connected graph, which can combine the greedy traversal algorithm and the connected graph to screen factors, effectively eliminate repetitive factors with strong correlation, and avoid The redundancy of the data causes the redundancy of the data, and the final target factor also has strong interpretability. The present invention also relates to block chain technology, and the target factor can be stored in the block chain.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a factor screening method, device, equipment and medium based on a connected graph. Background technique [0002] In the field of artificial intelligence, in order to improve the accuracy and efficiency of the model, before inputting each factor into the model for calculation, the factors must be screened first. [0003] At present, when dealing with multiple high similarity factors, the following two methods are mainly used: [0004] (1) The method of manual screening of factors. [0005] Manually judge the pairwise correlation of the factors, and then select the factors with high predictive ability to the model. Since this method mainly relies on manual judgment, and it is a one-to-one judgment, errors or omissions are prone to occur, and it is also cumbersome when performing iterative tasks such as model testing. [0006] (2) The way to automatically...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/0639
Inventor 张莉刘聃余雯乔延柯吴志成
Owner PING AN TECH (SHENZHEN) CO LTD