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As flagged in #163 we need to review this as a complete session
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https://github.com/jdb78/pytorch-forecasting/blame/cf0f2dd8afc7cc4601cc1309ff4e03f6ecf2efd7/pytorch_forecasting/models/temporal_fusion_transformer/tuning.py#L29
but when i remove class PyTorchL…
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This issue serves as an umbrella issue for integrating networks from LTSF-Linear. Deep learning has proven to be an effective way to predict time series data. To expand this type of forecasting in skt…
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Nice package, I have been looking for methods for heteroskedastic distribution prediction! (see https://github.com/sktime/skpro/issues/7)
More generally, I think `rolch` would fit the scope of skpr…
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**Is your feature request related to a problem? Please describe.**
Currently, it is only possible to pass a string to the sktime Adapter. With this string, the model is downloaded. I would like to ha…
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More foundation models coming up.
As `chronos` is not on huggingface, it will not be covered by the generic huggingface wrapper.
Usage is fairly easy, so I would consider this a good first issue.
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## Arxiv/Blog/Paper Link
[Blog](https://blog.research.google/2024/03/generative-ai-to-quantify-uncertainty.html)
[Arxiv](https://arxiv.org/pdf/2306.14066.pdf)
[Science Paper](https://www.science.…
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**Description:**
I am proposing an enhancement for the `Forecaster` class in the `functime` library, specifically to support setting `lags=0` in classes that inherit from `Forecaster`, such as `lin…
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Really cool project! Enjoy the paper and have had fun testing it out. Will instructions on fine tuning be released?
Thanks for your time
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In the model page (https://github.com/unit8co/darts?tab=readme-ov-file#forecasting-models) we can see that for AutoARIMA and StatsforecastAutoCES probabilistic forecasting is set to not applicable but…