Algorithm model training method, device, equipment and storage medium

Abstract

The present application provides an algorithm model training method, device, equipment and storage medium, which relate to the technical field of model training. This method is based on the drag component and canvas component of the react front-end development component framework. By introducing the preset drag component and canvas component into the main component of the algorithm model training, the data response of the drag component and the canvas component in the main component is established. The main component can call the canvas component to display the relevant nodes of the algorithm model training on the corresponding canvas according to the data change of the dragged component. Therefore, the operability of model training is stronger, and the flexibility, autonomy and intuitiveness of model training are effectively improved. By perfectly adding node content information configuration when the node falls into the canvas, and supporting right-click to delete, left-click to view or modify configuration information, the entire algorithm training process can be made intuitive, the layout is controllable, and the learning cost is reduced. 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 ...

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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

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