Comments (1)
您好,感谢关注。有关短期预测,论文中Table.2使用的M4数据集[1]是一个典型的短期预测数据集,所提出的Koopa模型在其上取得了最优的效果,证明了该模型在的短期预测任务的适用性。
另外,关于高维时间序列(或称多变量时间序列),推荐您关注我们另一篇工作iTransformer。
[1] The M4 Competition: 100,000 time series and 61 forecasting methods.
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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
- 在vscode运行bash语句报错 HOT 2
- Can Koopa model works on 2D datasets? Such as human trajectories? e.g. (x, y) HOT 2
- Purpose to set pred_len=1 in KPLayer? HOT 1
- 关于标准化操作的疑问 HOT 1
- Degree of Variation Experiment HOT 1
- dynamics research
- FFT - BUG HOT 2
- 关于时间序列非平稳的疑问 HOT 1
- Request for Code and Visualization Operators for "Degree of Variation" Comparison HOT 1
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