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Test model and evaluate MAPE
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Hi, I was exploring the repository and noticed that the loss metrics import statement in `nbeats.py` was missing some of the import statements causing errors in line 361 to 367.
Current the statemen…
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I am getting the error in the environment:
Error in purrr::map(., .f = function(df) { : ℹ In index: 1. Caused by error in `pkg.env$pd$Timestamp()`: ! attempt to apply non-function Error in `purrr::…
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### Description
Link from "loss collection" on page https://nixtlaverse.nixtla.io/neuralforecast/models.nbeats.html
does not work
### Link
https://nixtlaverse.nixtla.io/neuralforecast/losses.pyt…
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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…
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### What happened + What you expected to happen
The `predict` method fails with the following error when the model has been trained on multi-gpu with `ddp_spawn` strategy:
`TypeError: vstack(): ar…
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I am quite new and I am still trying to understand how NBEATS is handling exogenous variables, I know the architecture is not designed for that, and this issue is overcome in NBEATx
How are handl…
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Hi.
Trying to implement a **custom loss function** patching the default `MASE()` object (which inherits from `MultiHorizonMetric()` and `Metric()`).
I am debugging the `loss` computation to hunt…
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I'm trying to run a version with the "Alternative Padding Strategy" suggested in 18.1. Everything has worked well until Model 6 NBEATS ensemble. I've tried adjusting the nbeats() arguments, but the …
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When predicting a time series, one can turn some models probabilistic by defining a likelihood parameter.
E.g.:
NBEATSModel(
...
likelihood=GaussianLikelihood(),
random_state=42
)
…