Issues

• 模型评估：计算rse与rae为啥要比上样本数，还要比上真实值的标准差与平均绝对误差??求求大佬讲解

  laiguokun/LSTNet#25 · Filter by author Honey-Xin opened on Apr 19, 2023
  5

• 如何得到如论文展示的horizon = 3、6、12的结果

  laiguokun/LSTNet#24 · Filter by author outside-BUPT opened on Feb 25, 2023

• 你好请问这个该怎么运行呢，第一次尝试这个，想拿它入门

  laiguokun/LSTNet#23 · Filter by author zzzhmy opened on Nov 27, 2022

• Bug: --output_fun: expected one argument

  laiguokun/LSTNet#22 · Filter by author RiekeZoe opened on Jul 22, 2022

• BUG

  laiguokun/LSTNet#21 · Filter by author sun744-cmd opened on Jul 16, 2022
  1

• Code for processing data sets

  laiguokun/LSTNet#20 · Filter by author WKaiH123 opened on Feb 25, 2022

• BUG

  laiguokun/LSTNet#19 · Filter by author yaoshuilin opened on Jan 13, 2022
  5

• Normalization on the whole dataset?

  laiguokun/LSTNet#18 · Filter by author AlainOUYANG opened on Oct 25, 2021

• 370个用户的电力数据集转成321个用户的数据集

  laiguokun/LSTNet#17 · Filter by author 13121283123 opened on Aug 12, 2021

• LSTNet self.pt is wrong

  laiguokun/LSTNet#16 · Filter by author YohannaYin opened on Jul 7, 2021
  2

• where is the zero-padding in input matrix?

  laiguokun/LSTNet#15 · Filter by author YeeHoming1024 opened on Feb 28, 2021

• about loss function

  laiguokun/LSTNet#14 · Filter by author mikeblue0904 opened on Jan 5, 2021

• Sorry,your code is aimed at single variable or multivariate variables?

  laiguokun/LSTNet#13 · Filter by author mabostudy opened on Jun 3, 2020
  2

• If I want to change the length of the forecast, should I change the value of horizon?

  laiguokun/LSTNet#12 · Filter by author nursery42 opened on Oct 22, 2019
  4

• Where are the codes of "Temporal Attention Layer"?

  laiguokun/LSTNet#11 · Filter by author chendhui opened on Feb 13, 2019
  5

• How to generate forecast results?

  laiguokun/LSTNet#7 · Filter by author BernardOng opened on Dec 3, 2018
  1

• Expected object of type torch.cuda.FloatTensor but found type torch.FloatTensor for argument #2 'other'

  laiguokun/LSTNet#6 · Filter by author jnuvenus opened on Nov 27, 2018
  1