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Hello,
To pass exogenous variables to NBEATSx, there are three attributes ( futr_exog_list, hist_exog_list and stat_exog_list). I can't however find these attributes in AutoNBEATSx. How can we pass…
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By the definition of the basis projections, when the h=1 the basis are not correctly defined.
It is convenient to raise an exception on the interpretable NBEATSx model in the presence of h=1.
The …
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In the [NBEATSx implementation](https://github.com/Nixtla/neuralforecast/blob/main/nbs/models.nbeatsx.ipynb), it reads on the docstrings of the model that:
```python
"""
**Parameters:**
(...)
`…
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### What happened + What you expected to happen
When saving an AutoNBEATSx model, it is impossible to read it back in currently as is since you end up getting a `KeyError` since `MODEL_FILENAME_DICT`…
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It would greatly add to gluonts, if you'd add [NBEATSx: Neural basis expansion analysis with exogenous variables](https://github.com/cchallu/nbeatsx). As the name suggests, NBEATSx extends the NBEATS …
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### Description
# nixtlaR test
fth
## Porting over NBEATS, NBEATSx, and NHITS to R
first, running the python example from here:
https://pypi.org/project/neuralforecast/
``` python
import …
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### What happened + What you expected to happen
In google Colab I tried running the following code derived from the [docs](https://nixtla.github.io/neuralforecast/models.deepar.html)
```import p…
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**Is your feature request related to a problem? Please describe.**
Many real life datasets have categorical features, some of them meta data about a time series(static) and some of them varying with …
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Hello,
I was able to get the Level/Trend/Seasonal components for my model (NBEATS without exogs) using the link you shared, but I need help to get the components for my model (NBEATSx with exogs).
…
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**Describe the bug**
Support for `validation_epoch_end` has been removed in v2.0.0. `TCN` implements this method. You can use the `on_validation_epoch_end` hook instead. To access outputs, save them …