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**Describe the bug**
Suddenly, upon relaunching my notebook I wasn't able to train N-Beats on GPU and got `ValueError: 'cuda' is not a valid DistributedType`, without me changing anything in the code…
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Hi there,
running into trouble with predicting Nan Values. Initially thought that this could be from using a weekday timeseries (working with stock data). I saw the post about changing Freq='B' fo…
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When trying to validate an `NBEATSModel` model trained via `historical_forecast` with small `input_chunk_length` and `output_chunk_length`, it seems the prediction is always one step off. For instance…
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- PyTorch-Forecasting version: 0.5.1
- PyTorch version: 1.6.0+cu101
- Python version: 3.6.6
- Operating System: Windows 7
First of all, amazing package!
Looks like tons of work.
Thanks so mu…
lihub updated
2 years ago
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Love darts! I have a problem that I can't wrap my head around, though. The out-of-sample performance of global models seems to be quite poor when compared to univariate time series modeling.
I have…
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Whenever I use NBEATS, hundreds of GB of checkpoint files are created. I also tried setting `work_dir=None` in the `NBEATSModel()`, but this will report an error.
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I have difficulty in understanding the benefit of such time series algorithms which uses teacher forcing i.e. they are using the actual target/ground truth (of previous step) as input to the model. Le…
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PyTorch-Forecasting version:
* 0.9.0
PyTorch version:
* 1.9.0
Python version:
* 3.9
Operating System:
* Windows
### Description
I pretrained a model on a different machine and want t…
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**Is your feature request related to a current problem? Please describe.**
A clear and concise description of what the problem is.
I'd like to train a Nbeats and TCN model but not save the model a…
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Hi all,
I am currently working with the NBEATs implementation in this package. I wrapped all the training code from the tutorial into a function called `nbeats_train:
```
def nbeats_train(data,…