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- PyTorch-Forecasting version: 0.10.2
- PyTorch version: 1.11.0
- Python version: 3.9.12
- Operating System: Windows 7
### Expected behavior
I executed code like in the tutorial [Demand fore…
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**Combine neural nets with statistical models**
Some papers/competitions have shown that combining statistical models with neural networks can increase accuracy. An example is the winner of the M4-co…
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- PyTorch-Forecasting version:
- PyTorch version:
- Python version:
- Operating System:
### Expected behavior
### Actual behavior
Hi, I am searching where class method `self.log()` is de…
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Hello! I was trying to train DeepAR and NHiTS, the problem is that the two losses used in those models seem to not be available anymore in the library, where can I find them?
I tried both:
`from …
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https://arxiv.org/pdf/2310.10688.pdf
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The data in such function:
```python
def generate_numerical(raw_folder, save_path, mode="test", obs_length=15):
raw_data = np.load(os.path.join(raw_folder, "sg_raw_" + mode + ".npy"))
da…
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- PyTorch-Forecasting version:
- PyTorch version:
- Python version:
- Operating System:
### Expected behavior
I executed code ... in order to ... and expected to get result ...
### Actual …
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Thank you for developing this package. This is awesome. Can we add xgboost into this hybridforecast. Most of the winning solutions for forecasting competitions having xgboost models in them. So that t…
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Would be helpful to form forecasting models of the type
``` mls(y,-1,1)~y+fmls(x,11,12,nealmon)```
```
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In sktime there are no models based on NN.
I found 3 libraries:
1) Darts
2) Python Forecasting
3) NeuralForecaster
4) Flow Forcast (2022)
5) tsai (2024)
(if there are othes, I'd like to kno…