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This is more of a general question than an issue. I apologize if this should be addressed elsewhere.
I am interested in performing mid- to long-term forecasting of a single time series and have bee…
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When reducing the time series forecasting problem to a tabular regression and when the model is considered fixed once trained it would be possible in theory to pass an array of samples to `update_pred…
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**Describe the bug**
Training and predicting an AutoARIMA model using no covariates works as expected, but adding a covariate leads to the following error on prediction: `ValueError: X array dims (n_…
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**High Prio**
* NBEATSX support #471
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Pose your questions as Issue Comments (below) for [James Evans](https://sociology.uchicago.edu/directory/James-A-Evans) regarding his 10/3 talk on *Simulating Subjects: The Promise and Peril of AI Sta…
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Hi,
What are the main differences between "PatchTSTForPrediction" and "PatchTSMixerForPrediction"?
which one is better suited for multivariate time-series?
Is "TinyTimeMixerForPrediction" is the …
rdabc updated
3 weeks ago
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## Refer
- Refer to #1, #2, #3 for understanding what you are suppose to do.
- The issues have advanced and difficult models. However as part of evaluation i have picked 1-2 model from each of #1,…
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small benchmark study comparing models on commonly used dataset (in research papers). output a blog post and reproducible experiments code
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**🔍 Problem Description:**
I am working on a project to predict energy consumption for a building or city based on historical energy consumption data, weather conditions (temperature, humidity, etc.)…
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- PyTorch-Forecasting version: 0.9.0
- PyTorch version: 1.9.0
- Python version: 3.9.4
- Operating System: Ubuntu 20.04.2 LTS
- pytorch-lightning 1.3.5
- optuna 2.8.0
### Expected behavior
I…