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Data prediction model training method and device and storage medium

A technology for model training and data prediction, which is applied in the Internet field and can solve problems such as poor flexibility

Inactive Publication Date: 2021-05-18
上海创能国瑞新能源科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing forecasting methods have the disadvantage of poor flexibility

Method used

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  • Data prediction model training method and device and storage medium
  • Data prediction model training method and device and storage medium
  • Data prediction model training method and device and storage medium

Examples

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Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0021] The importance of accurately predicting future trends in data to the success of a business or other organization is obvious. However, the existing prediction methods have the disadvantage of low flexibility. Aiming at this technical problem, an embodiment of the present application provides a solution, which will be described exemplarily below...

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Abstract

The embodiment of the invention provides a data prediction model training method and device and a storage medium. In the data prediction model training method, an appropriate model can be selected from a plurality of selectable prediction models according to a measurement error index and characteristics of historical data, and a corresponding optimal model is selected for predictable dependent variables and related independent variables needing to be predicted. A comprehensive prediction model may be trained based on the prediction model of the dependent variable and the relationship between the prediction model of the independent variable and the actual value of the dependent variable. The comprehensive prediction model can provide a universal prediction method, can flexibly implement prediction tasks related to various time sequences, and meets various prediction requirements of users.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a data prediction model training method, device and storage medium. Background technique [0002] The importance of accurately predicting future data trends to the success of a business or other organization is obvious. In the prior art, the prediction of future data trends is usually implemented based on the integration of historical data. However, the existing forecasting methods have the defect of poor flexibility. Therefore, a new solution remains to be proposed. Contents of the invention [0003] Various aspects of the present application provide a data prediction model training method, device, and storage medium to improve the flexibility of data prediction. [0004] An embodiment of the present application provides a data prediction model training method, including: determining a plurality of candidate prediction models and historical data required ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 忻雷
Owner 上海创能国瑞新能源科技股份有限公司
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