Model construction method and device, storage medium and processor

Abstract

The invention provides a model construction method and device, a storage medium and a processor. The method comprises the steps of obtaining online data; carrying out crowdsourcing annotation on the online data to obtain an annotation result, wherein the annotation result comprises annotated training data and annotation condition information; obtaining the labeling quality of the labeling result; selecting a corresponding machine learning model and a corresponding model training parameter according to the current task type and the labeling quality of the labeling result; training the corresponding machine learning model by using the labeled training data according to the corresponding model training parameters to obtain a trained prediction model. According to the method, the online data and the modeling configuration process are combined, automatic configuration of the model and the model training parameters is realized, the modeling threshold of non-professionals is fully reduced, the whole modeling process becomes data, the model can be obtained, the convenience of model construction is improved, and the time cost of modeling personnel is also reduced.

Description

technical field [0001] The present invention relates to the field of data processing, and more specifically, to a model building method, device, storage medium and equipment. Background technique [0002] Visual modeling (VISUALMODELING) is a way of thinking about problems by organizing models around realistic ideas, and it provides a mechanism to observe the developed system from different perspectives. [0003] Many visual modeling tools have been hatched in the current market. However, the current modeling tools are relatively demo-level. Usually, the main modeling work needs to be handed over to the modelers, and the modeling is performed manually. The modeling process is very cumbersome and inconvenient; after the model is used online, if the online data changes, the modeler needs to retrain the model or optimize the model to adapt to the changed online data; when the modeler and If you are not particularly professional, you may not understand the model-related items s...

AI Technical Summary

Problems solved by technology

[0003] Many visual modeling tools have been hatched in the current market. However, the current modeling tools are relatively demo-level. Usually, the main modeling work needs to be handed over to the modelers, and the modeling is performed manually. The modeling process is very cumbersome and inconvenient; after the model is used online, if the online data changes, the modeler needs to retrain the model or optimize the model to adapt to the changed online data; when the modeler and If you are not particularly professional, you may not understand the model related items such as feature selection and parameter setting of the model, which will also bring many obstacles and inconvenience to the modeling work

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