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- PyTorch-Forecasting version: 0.9.2
- PyTorch version: 1.10.2
- Python version: 3.9.7
- Operating System: Ubuntu Server
### Expected behavior
I executed code in order to fit model and expect…
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## Description
I was running Evaluator and got an error below:
```
2 from gluonts.evaluation import Evaluator
3 evaluator = Evaluator(quantiles=[0.1, 0.5, 0.9], num_workers=None)
--…
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- PyTorch-Forecasting version: 0.9.0
- PyTorch version: 1.9.1
- Python version: 3.9.7
- Operating System: CentOS 7
### Expected behavior
We were trying to reproduce the results from the elec…
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I'm not sure the exact problem, but it seems that the `mean()` of transformed distributions is not always correct. Here's an example of `exp()` applied to `dist_normal()`, which should yield a lognorm…
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I'm trying to test cold start forecasting using the DeepAREstimator. My test setup is the following:
- Generated 4 categories of seasonal weekly time series using sine waves with added gaussian noi…
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- PyTorch-Forecasting version:0.9.0
- PyTorch version:1.8.0
- Python version:3.6
- Operating System:macos
My time series data is not missing, but the following error occurred during training.
…
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**Describe the bug**
The differencer is producing `SettingWithCopyWarning` when embedded in a ForecastingPipeline on which predict_interval/quantile is called... Which is a bit annoying, especially i…
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Analog to #2860 and #1624, we should discuss if we write an adapter for pytorch-forecasting.
Pros:
* Implements multiple state of the art DL forecasters.
Cons:
* Not sure if it is useful to su…
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**Submitting author:** @pat-alt (Patrick Altmeyer)
**Repository:** https://github.com/pat-alt/LaplaceRedux.jl
**Branch with paper.md** (empty if default branch):
**Version:**
**Editor:** @matbesanco…