thuml/iTransformer

Clarification on Varying Prediction Lengths Across Datasets

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I noticed that the prediction lengths used in the paper vary depending on the dataset. Could you please explain the rationale behind selecting different prediction lengths for different datasets?

Are these lengths determined based on the characteristics of each dataset, or is there another factor influencing this choice?

Hello, we follow the well-acknowledged benchmark of tslib: https://github.com/thuml/Time-Series-Library

thanks.