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Time series forecasting with PyTorch

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### Description This PR modifies the attention mask in the TFT model from 1e-9 to float("inf") to allow Pytorch mixed precision training. Closes #1325, closes #285

enhancement

I have a general question about how to handle training where some of the covariates are themselves forecasts. I am building a TFT model where the decoder part of each...

I was reading the paper that the DeepVAR implementation is supposed to be based on (https://arxiv.org/abs/1910.03002) and I'm having trouble finding the Gaussian copula processes anywhere in the source code....

### Description monotone_constaints -> monotone_constraints ### Checklist - [ ] Linked issues (if existing) - [ ] Amended changelog for large changes (and added myself there as contributor) - [...

- PyTorch-Forecasting version: Can't Install due to wheel issue. - PyTorch version: Can't install same wheel issue - Python version: 3.11.5 - Operating System: Windows Issue faced while installing pytorch-forecasting...

bug

### Description Changed dimension in concat_sequences to cat along dim = 0. This fixes bug mentioned in linked issue. ### Checklist - [ ] [Linked issues (if existing)](https://github.com/jdb78/pytorch-forecasting/issues/1509) - [...

- PyTorch-Forecasting version: 1.0.0 - PyTorch version: 2.0.1 - Python version: 3.10 - Operating System: Windows ### Expected behavior My expectation is to get a prediction that is not completely...

I was reading [this article](https://blog.research.google/2023/09/tsmixer-all-mlp-architecture-for-time.html?m=1) on the TSMixer model, which out performs TFT. Are there any plans in the near future to incorporate TSMixer in PyTorch Forecasting? Do you know...

enhancement
new network
feature request

### Description This PR fixes my own issues: * https://github.com/jdb78/pytorch-forecasting/issues/1440 * https://github.com/jdb78/pytorch-forecasting/issues/1448 It allows to tune "any" model, generalizing the `optimize_hypetparameters` function from `TemporalFusionTransformer` model, and it also add a...

enhancement

- PyTorch-Forecasting version: 1.0.0 - PyTorch version: 2.0.1 - Python version: 3.10.10 - Operating System: macOS-13.3.1 M1 Pro - Torch.backends.mps.is_available(): True - ### Expected behavior I am trying to execute...