Information analysis and prediction method and device, computer system and readable storage medium

Abstract

The invention discloses an information analysis and prediction method and device, a computer system and a readable storage medium, and the method comprises the steps that an operation server receivesto-be-tested information transmitted by a client, and obtains a prediction model matched with the to-be-tested information from a preset model database as a target model; the preprocessing server obtains to-be-tested information and a target model from the operation server, extracts data matched with index data in the target model from the to-be-tested information, and sets the data as linear data, wherein the index data is data corresponding to independent variables of a target function in the target model, and the target function is a linear regression equation; and the operation server obtains the linear data from the preprocessing server, calculates the linear data through the target model to obtain prediction information, and sends the prediction information to the client. According to the method, the situation that the prediction model is directly entered without distinguishing the linear relation and the nonlinear relation is avoided, and the accuracy and stability of the prediction result of the prediction model are guaranteed.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an information analysis and prediction method, device, computer system and readable storage medium. Background technique [0002] A predictive model refers to a computer program that operates on current data to predict the nature or characteristics of the data subject based on historical data and based on the quantitative relationship between things described by mathematical language or formulas. [0003] The current forecasting model construction method mainly adopts the preset objective function, and then uses big data to train the forecasting model to obtain the target model; however, in reality, not all data have a linear relationship, so , if the linear relationship data and nonlinear relationship data are input into the prediction model without distinction to train it and obtain the target model, it will lead to a large deviation in the prediction results, and the...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an information analysis and prediction method, device, computer system and readable storage medium, which are used to solve the problem of not distinguishing between linear relationship data and nonlinear relationship data in the prior art and directly entering the prediction model, so as to Performing training and obtaining the target model will lead to large deviations in the predicted results of the construction, and the problem that it cannot be put into use normally

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