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- PyTorch-Forecasting version: 0.9.2
- PyTorch version: 1.10.2
- Python version: 3.8
- Operating System: Ubuntu
Hi there!
Thanks for this great package. I have a problem with multiple timeser…
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- PyTorch-Forecasting version:0.85
- PyTorch version:Google Colab defaut
- Python version:Google Colab defaut
- Operating System:Google Colab(linux)
### Code to reproduce the problem
```
# c…
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**System Information (please complete the following information):**
- OS & Version: Windows 11
- ML.NET Version: 1.7.1 and 2.0.0-preview.22313.1
- .NET Version: .NET 6.0
**Describe the bug**
…
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Some of the datasets store value of an entity (ex: humidity/temperature readings of a storage unit, Status of a device) over time. The values are recorded periodically, may not be very granular. It wo…
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I ran a forecasting experiment in Azure ML and it chose SeasonalAverage algorithm as the best model. In the explanation, only the target column ‘WeeklySales’ had importance and none of the other input…
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- PyTorch-Forecasting version: 0.8.5
- PyTorch version: 1.8.1
- Python version: 3.8
- Operating System: Linux
Hi there,
I had a similar question to #490 regarding how to code the group_ids fo…
ik362 updated
3 years ago
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### Describe the feature you want to add to this project
sktime project is splitting into 2 parallel projects (see [link](https://github.com/mloning/sktime-deprecation/discussions/1)). With this ch…
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Hi I have some questions with regards to generating the train, val and test sets for the temperature forecasting problem.
1. When using the timeseries_dataset_from_array tool, we passed the argumen…
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Forecasts in the EFI NEON challenge are all explicitly site-based timeseries.
With the widespread availability of remote sensing & imagery data and the importance of understanding spatially expli…
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Hello I do timeseries forecasting with TSA, AR, ARIMA, ARMA. What I would like to be doing is, training the models with a subset of the data I have to get the weights and then try the models on new un…