Model training method and related equipment

A training method and model technology, applied in the field of model training, can solve problems such as long data acquisition cycle, limited variables, and many interference factors, and achieve the effect of reducing training time, reducing model training time, and improving accuracy

Pending Publication Date: 2019-11-05
北京嘉和海森健康科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The existing data has defects such as long acquisition period, limited variables, and many interference factors. Traditional research generally uses stat

Method used

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  • Model training method and related equipment
  • Model training method and related equipment
  • Model training method and related equipment

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Embodiment Construction

[0055] The application provides a model training method and related equipment, which can improve the accuracy of the model and reduce the time for model training.

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them.

[0057]The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as ...

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Abstract

The embodiment of the invention provides a model training method and related equipment, which are used for improving the accuracy of a model and reducing the model training time. The method comprisesthe steps that N prediction topics are determined, and N is a positive integer larger than or equal to 1; factor labeling is carried out on the data corresponding to the N prediction themes to obtainN groups of labeling factors, and the N prediction themes correspond to the N groups of labeling factors; the N groups of labeling factors are preprocessed to obtain the N key data sets; the single factor analysis is performed on each key data set in the N key data sets to obtain N groups of target factors, the N groups of target factors having an association relationship with the N prediction themes; and training the N groups of target factors through at least one model algorithm to obtain at least one model corresponding to the N prediction topics.

Description

technical field [0001] The present application relates to the field of model training, in particular to a model training method and related equipment. Background technique [0002] With the advancement of the Internet, researchers from all walks of life have gradually realized the importance of data applications and began to tap the potential massive application value of data. Powerful data mining tools can improve the credibility of data results, reduce the difficulty of researchers, and improve research efficiency. R is not only a programming language, but also a software that integrates various algorithms and functions. It is open source, free and non-commercial. This software integrates a large number of commonly used data mining and analysis algorithms, including classification algorithms and regression algorithms. , neural network, etc., users can adjust the algorithm parameters according to their needs, and it also includes visual analysis functions, which can meet m...

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Application Information

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IPC IPC(8): G06K9/62G06F16/215
CPCG06F16/215G06F18/214
Inventor 甘伟陈联忠徐明明
Owner 北京嘉和海森健康科技有限公司
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