Model fusion method and device, prediction method and device, equipment and storage medium

Abstract

The invention provides a model fusion method and device, a prediction method and device, equipment and a storage medium, and relates to the technical field of data processing. The method comprises thesteps of obtaining a plurality of prediction models; predicting target sample data by adopting each prediction model to obtain a sample prediction value of each prediction model; determining a prediction error of each prediction model according to the sample prediction value of each prediction model and a standard prediction value corresponding to the target sample data; and calculating the weight of each prediction model according to the prediction error of each prediction model and the prediction errors of the plurality of prediction models, wherein the weights of the plurality of prediction models are prediction weights of the plurality of prediction models for the input data in the process of predicting the input data in the hybrid application scene. Therefore, the prediction based onplurality of prediction models is more stable, the prediction result can be output in combination with the weight of each prediction model, the processing effect on the input data is improved, and the prediction result is more accurate.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a model fusion method, a prediction method, a device, a device and a storage medium. Background technique [0002] With the advancement of artificial intelligence technology, machine learning under big data has also become a research hotspot. In the process of machine learning, sample data is used, and it is usually necessary to use multiple models to process the sample data. Different models often have different applicable scenarios. There is no one model that is better than other models in all cases. . Therefore, it is becoming more and more important to combine multiple models to form an algorithm framework, and to use the algorithm framework to make full use of the advantages of different models to process sample data. [0003] In related technologies, when merging multiple models, an averaging method is used to fuse the multiple models. In the fusion proce...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a model fusion method, prediction method, device, equipment and storage medium for the above-mentioned deficiencies in the prior art, so as to solve the problem of fusion of various models by using the average method in the related technology, which is prone to The prediction of multiple fused models is unstable, which leads to the problem that the fused multiple models have poor processing effect on input data

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