Data prediction system and method based on double-layer model structure

Abstract

The invention provides a data prediction system and method based on a double-layer model structure. The data prediction system comprises a model configuration management unit, a model execution management unit and a model container management unit. The model configuration management unit comprises a special model configuration management subunit, a general model configuration management subunit, ageneral model library, a special model library and a model information service subunit; the model container management unit comprises a model container scheduling subunit, a special container resource pool, a basic container resource pool and a model container monitoring subunit. The method has the following advantages: (1) through a double-layer model structure, the reuse degree of a general model can be greatly improved, so that the development period of a complex prediction model in each service system is shortened; and (2) normal, stable, safe and reliable operation of the double-layer model structure is ensured by adopting an isolated operation technical method of the container, and execution abnormity caused by conflict of execution of special models of different users is avoided.

Description

technical field [0001] The invention belongs to the technical field of data prediction, and in particular relates to a data prediction system and method based on a two-layer model structure. Background technique [0002] Data prediction technology is widely used in various decision support systems. In the prior art, the method of data prediction is generally as follows: According to a specific application requirement, for example, for the price prediction demand of meat products, or for the demand of vegetable price prediction, respectively write corresponding data prediction display units, including: writing data Predict the model, write the data analysis code, write the result display code, and then realize the data prediction by executing the data prediction display unit, and display the data prediction result. [0003] The above data prediction method has the following problems: Since each specific application needs to write a set of data prediction display unit, the re...

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Problems solved by technology

[0003] The above data prediction method has the following problems: Since each specific application needs to write a set of data prediction display unit, the reusability of each data prediction display unit is very low, which increases the workload of programmers and has the advantages of data prediction. The development cycle of the display unit is long; in addition, the scalability of the data prediction display unit is not limited. Whenever the function needs to be expanded, it needs to be improved from the program code level, which reduces the efficiency of the data prediction display unit expansion.

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