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Hi, I'm trying to follow the steps described in this tutorial: [Exogenous Variables](https://nixtla.github.io/neuralforecast/examples/exogenous_variables.html)
Unfortunately, when I copy the code I g…
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Hello Team,
I have a dataset that I have split into the train, valid, and test set 60-20-20%, respectively.
This is how I define my model search space and the model:-
nbeatsx_config = {
…
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I'm working on NBEATSx I have 160 column features in my dataset. What could cause this error?
ProcessExitedException Traceback (most recent call last)
Cell In [22], line 1
----…
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Exception: Horizon `h=1` incompatible with `seasonality` or `trend` in stacks
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Hi, I have a question about using NBEATSx.
I am confused from different terminologies between the codes and the paper.
Is the 'identity' stack the 'exogenous' stack in the paper?
Thanks in advance.
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The simple `NBEATS` model has already its Auto version.
The `NBEATSx` model is missing one.
For the moment one can recover the `AutoNBEATSx` behavior through `AutoNHITS` by setting `n_freq_downsam…
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**Describe the bug**
Retraining a pre-trained model with callbacks enabled results in error.
```python
Traceback (most recent call last):
File "nf.py", line 145, in
nf.fit(df=train_df)
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Hi dear contributer team,
I'm really excited to find this repo, which helps me learn DL-based time series methods a lot.
But I've got a few questions when I'm playing with Nbeatsx model.
1. Can…
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I have a use case wherein I need to take multi-variate time-series data as input, find correlations, and predict an output. In my particular case, I only need the output to be a 0 or 1. 0 meaning down…
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### What happened + What you expected to happen
early_stop_patience_steps feature doesn't seem to work in different models and I keep getting the same error:
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