Algorithm model training method and device, equipment and storage medium

Abstract

The invention provides an algorithm model training method and device, equipment and a storage medium, and relates to the technical field of model training. The method is based on a dragging componentand a canvas component of a read front-end development component framework. A preset dragging assembly and a canvas assembly are introduced into a main assembly trained by an algorithm model, and dataresponse type connection between the dragging assembly and the canvas assembly in the main assembly is established, so that the main assembly can call the canvas assembly to display related nodes trained by the algorithm model on a corresponding canvas according to data changes of the dragging assembly. The operability of model training is stronger, and the flexibility, autonomy and intuition ofmodel training are effectively improved. By perfectly adding node content information configuration when the nodes fall into the canvas and supporting right-key deletion and left-key click to check ormodify the configuration information, the whole algorithm training process becomes visual, the layout becomes controllable, and the learning cost becomes very low.

Description

technical field [0001] The present invention relates to the technical field of model training, in particular to an algorithm model training method, device, equipment and storage medium. Background technique [0002] With the rapid development of science and technology and the advent of the era of big data, the analysis and application of massive data has become more and more extensive. However, what is really meaningful is that based on big data, people's prediction or forecast of the future development trend of certain states in work and life. Through the training of the algorithm model, the adjustment and control of the influencing factors and their weights of the prediction results can be achieved, and the results can be optimized, which has become the development trend of the current era. [0003] In the prior art, the algorithm model can be trained in the form of a form, or the model nodes and relationships can be displayed and deleted based on the Cytoscape component ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an algorithmic model training method, device, equipment and storage medium for the deficiencies in the above-mentioned prior art, so as to solve the problem of low flexibility and poor intuitiveness of algorithmic model training existing in the prior art. question

Images