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zezhishao avatar zezhishao commented on August 24, 2024 1

BasicTS中的Evaluate best model on test data for horizon 96代表的是在第96个时间片处的损失。而LTSF领域相关工作是预测96个时间片，在这所有的96个时间片上的平均损失。

因此，假如你想要对比预测长度为96时候的结果，你应该先把CFG.DATASET_OUTPUT_LEN设置为96，然后查看整个Test Evaluation的结果，即log中长得像这样的行2023-12-10 15:46:42,249 - easytorch-training - INFO - Result <test>: [test_time: 2.93 (s), test_MAE: 3.166884, test_RMSE: 6.541209, test_MAPE: 0.094466, test_WAPE: 0.054826, test_MSE: 42.787418]。这一行中的就是96个时间片上平均结果。

另外，LTSF的相关研究通常只在归一化后的数值上计算指标。虽然这一设置不太合理，但假如你想要按照这个设置来和他们进行对比，你还需要将CFG.RESCALE设置成False。

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wml161518 avatar wml161518 commented on August 24, 2024

间

感谢作者大大的回答，那CFG.DATASET_INPUT_LEN需要对应修改么

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zezhishao avatar zezhishao commented on August 24, 2024

可以先按照目前仓库中的值复现，差距显著的话就得自己再调整一下了。长序列预测这个领域的输入长度很乱。

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