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- PyTorch-Forecasting version: 0.8.5
- PyTorch version: 1.8.1
- Python version: 3.7
- Operating System: windows10
TimeSeriesDataSet(
data[lambda x: x['week']
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- PyTorch-Forecasting version: 0.8.4
- PyTorch Lightning version: 1.1.8
- Python version: 1.8.1
- Operating System: Ubuntu 18.4
### Expected behavior
Trying to **log the computation graph to …
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- PyTorch-Forecasting version:
- PyTorch version:
- Python version:
- Operating System:
Hi, Thanks for this library!!!
I want to predict the market price(Open price) of a stock.
I'm trying to …
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I am getting error when running this example when running NBeats.ipynb while running the following command. If I remove stack_types or set it as ('trend','seasonality') it works fine. But it gives err…
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**Describe the bug**
It complains tensors are on GPU and CPU. nbeats.py works better if you add .cuda() to each torch.zero
**To Reproduce**
Run NBEATS-examples notebook.
**Expected behavior**…
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Hi @jdb78 ,
I am trying to customize your N-Beats implementation to use `SELU()` instead of `ReLU()` activation function.
It's easy to replace it and use PyTorch's implementation, but SELU() "de…
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Hi,
I tried running your toy code, but for some reason "load" isn't working. Any idea why?
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**Describe the bug**
I get the following error when trying to run a `torch` model (I have tried RNN, NBEATS):
```
File "darts\models\torch_forecasting_model.py", line 292, in fit
logger.…
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I have read in another thread that the dependencies might be out of date. Could that be the problem that I am facing while trying to install the package in Google Colab?
This is for pip install.
…
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With the current integration image, VAR will complete for timeseries, but NBEATS and DeepAR both fail to complete.