Gerald Woo
Gerald Woo
I think there wouldn't be a difference if the prediction range is already padded?
Right... this makes sense. Thanks a lot!
I believe it uses the same train/val/test split as the LSF setting. However, it doesn't perform normalization based on train set statistics, which is used in the LSF setting, so...
Hi @zqiao11, sorry for the late response. Have you managed to resolve this issue? If not, could you provide more details?
So sorry for the delayed response, for the `max_seq_len` issue, you can use one of the following options: 1. increase the `max_seq_len` parameter 2. use a shorter context length 3....
Regarding a difference in performance with ETTh1, if you want to evaluate on the LSTF setting, you will have to perform a normalization on the train set statistics first.
It subsamples the variates given the `max_dim` parameter. max_seq_len is not given to SampleDimension as a parameter.
I think you can ignore this, seems like some issue with the dataloading.
The `MoiraiForecast` class is a PyTorch Lightning Module, you can use it without the GluonTS components (but you'd have to rewrite the class removing the GluonTS imports). Btw, GluonTS doesn't...
Closing due to inactivity, feel free to reopen if you need any further clarifications.