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Interpretable time sequence prediction model training method and device and computing equipment

A time series prediction and training method technology, applied in the field of deep learning, can solve problems such as limiting model prediction performance, and achieve the effect of improving prediction performance

Active Publication Date: 2021-12-10
BEIJING REALAI TECH CO LTD
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Problems solved by technology

Although the above methods are easy to explain under the corresponding model assumptions, these assumptions also greatly limit the predictive performance of the model

Method used

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  • Interpretable time sequence prediction model training method and device and computing equipment
  • Interpretable time sequence prediction model training method and device and computing equipment
  • Interpretable time sequence prediction model training method and device and computing equipment

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Embodiment approach

[0158] As an optional implementation, the device may also include:

[0159] An acquisition unit, configured to acquire an arbitrary sequence graph after the training unit trains the interpretable time series prediction model based on the real value and the prediction result for the purpose of improving the prediction accuracy of the interpretable time series prediction model ;

[0160] An updating unit, configured to update the attention range of the disturbance region based on each feature in the sequence graph, so as to obtain a sequence saliency map corresponding to the sequence graph.

[0161] Wherein, implementing this embodiment, the focus range of the disturbance region can be updated based on each feature in the sequence diagram, so as to obtain the sequence saliency map corresponding to the sequence diagram, and the interpretable time series prediction model can be clearly implemented by using the sequence saliency map Interpretation, which improves the interpretabil...

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Abstract

The embodiment of the invention provides an interpretable time sequence prediction model training method and device, a medium and computing equipment. The method comprises the following steps: performing data processing on acquired time sequence data to obtain a sequence diagram corresponding to the time sequence data; modeling the sequence diagram through the interpretable time sequence prediction model to obtain a prediction result corresponding to the sequence diagram; and training the interpretable time sequence prediction model based on a true value and the prediction result in order to improve the prediction precision of the interpretable time sequence prediction model. The multi-dimensional data in the sequence diagram and the time sequence data with the time sequence can be calculated through the interpretable time sequence prediction model, so that the prediction result is output; and the model can be trained based on the prediction result and the true value, so that the model can output a more accurate prediction result, and the prediction performance of the interpretable time sequence prediction model is also improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of deep learning, and more specifically, embodiments of the present invention relate to a training method, device, medium, and computing device for an interpretable time series prediction model. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Time series data refers to data with a predefined time or order, and time series data can be widely used in various application scenarios, such as classification, prediction, and completion. How to accurately model the influence of each feature of time series data on the prediction results in various application scenarios is a very meaningful problem. At present, the prediction of multidimensional time series corresponding to time series data ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/04G06N3/08
Inventor 潘庆一胡文波
Owner BEIJING REALAI TECH CO LTD
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