Comments (1)
Hello, you can calculate Degree of Variation as follows:
- decompose the series into time-invariant component and time-variant component using Fourier Filter;
- utilize the two components to train MLPs;
- calculate the standard deviation of linear weighting.
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Related Issues (18)
- loss反向传播报错 HOT 1
- run problem HOT 3
- Why does the time-variant Koopman operator predict an extra step? HOT 5
- A RuntimeError of "loss.backward()" HOT 1
- Is there any sample for using multi-covariable features to predict multi-target? HOT 1
- how to get fig5 and fig6 in this paper? HOT 1
- 关于算子是啥的问题 HOT 2
- Prediction on entire dataset HOT 1
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- 能适用于短时高维的时间序列吗 HOT 1
- Purpose to set pred_len=1 in KPLayer? HOT 1
- 关于标准化操作的疑问 HOT 1
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- dynamics research
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