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The data from John Hopkins comes at the level of regions / province. We should ideally build the map at this level. Forecasting at this level would also be interesting, provided that there are enough …
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I'm using Auto-PyTorch to do time series forecasting and employing in google colab and also in IDLE. In google colab, I encountered this error:
OSError Traceback (…
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## Detailed Description
Diffusion models seem to be quite useful for a lot of image generation and high detail and much easier training than for GANs as generative models, e.g. StableDiffusion. Thi…
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Hi
I would appreciate if you could let me know how to fix this error. I am running the code on Colab.
```python
from sktime.transformations.series.compose import ColumnwiseTransformer
```
Err…
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### Discussed in https://github.com/frePPLe/frepple/discussions/665
Originally posted by **JATDALTON** July 29, 2024
I am looking to create a forecast measure to calculate total volume.
In …
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### Model description
**TimesFM** (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
### Open source status
- [X] …
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- PyTorch-Forecasting version: 0.9.0
- PyTorch version: 1.7.1
- Python version: 3.9.5
- Operating System: macOS Catalina 10.15.7
### Expected behavior
I want to initialise a DeepAR model inst…
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## Description
Referring to your paper [Meta-Forecasting by combining Global Deep Representations with Local Adaptation](https://arxiv.org/pdf/2111.03418.pdf), I would like to kindly ask if there is …
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### Proposal and some questions
Hello. I really like your project, I have reviewed all the readme and tutorials in detail. I have a few questions and maybe some suggestions for improvement:
- Wh…
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Not able to do multivariate time series forecasting.