-
### What happened + What you expected to happen
I noticed that the training and validation loss shown are based on the y's and y_hat's before the inverse normalization, which makes it difficult to co…
-
I have some questions about AutoNBEATS and AutoNHITS, as mentioned below:
1. The forecaster can use this code snippet to generate the model fitted in sample values, but it gives multiple forecasts…
-
Hi, presently I'm getting the good accuracy for my data using "NBEATS & N-Hits" Models from Darts library. But I am also want to use "future_covariates" to above models. Is there any possibility to do…
-
### Description
Issue:
When deploying the `nbeatsx` model and making use of all the available data up to that date as `training set` (which should increase performance), I do not have any other fut…
-
### What happened + What you expected to happen
Hi, I'm a beginner on deep learning time-series forcasting and really appreicate about the work on neuralforcast which provide the strong function and …
-
In this example https://nixtla.github.io/hierarchicalforecast/examples/australiandomestictourism.html#computing-base-forecasts
```
fcst = StatsForecast(df=Y_train_df,
models…
-
### Bug description
Hi, I'm trying to convert my model Detr to onnx , I followed the guide but I get this error:
f"`torch>=2.0` requires `onnx` to be installed to use `{type(self).__name__}.to_…
-
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…
-
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 …
-
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:**
(...)
`…