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Multivariate input to predict univariate variables #6
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Hi, thanks for your interest in our work, one easy workaround to get univariate output variables will be to mask the unwanted dimensions in the output forecast. |
Thanks for the response. This is indeed what I tried at first, but I suspected that it would make the training process a lot slower. However, if this is the only way then I will try it anyway with more computing time. |
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Hi,
I was wondering if it is possible to use your model with a multivariate input while predicting a univariate variable. If not, do you know what code I should change to make it work? As you are using some of the code from Informer, I was thinking about using the 'MS' features parameter, but this gives the following error in the encoder on line 109:
Now I could reshape this level variable so it would be consistent with my data, but I don't know if your model is capable of handling that. Please let me know what you think.
Thanks for your time and contribution,
Rico
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