We currently have no usage examples for v1 and v2 models. We should do that! As v2 is still WiP, I would suggest we start with adding examples to v1. ### v1 models - [ ] [`DeepAR`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/deepar/_deepar.py) - [ ] [`DecoderMLP` ](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/mlp/_decodermlp.py) - [ ] [`NBeats` ](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/nbeats/_nbeats.py) - [ ] [`NBeatsKAN`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/nbeats/_nbeatskan.py) - [ ] [`NHiTS`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/nhits/_nhits.py) - [ ] [`RNN`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/rnn/_rnn.py) - [ ] [`TFT`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/temporal_fusion_transformer/_tft.py) - [ ] [`TiDE`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/tide/_tide.py) - [ ] [`TimeXer`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/timexer/_timexer.py) - [ ] [`xLSTMTime`](https://github.com/sktime/pytorch-forecasting/blob/main/pytorch_forecasting/models/xlstm/_xlstm.py) ### v2 models To be done once the design is finalised
We currently have no usage examples for v1 and v2 models. We should do that!
As v2 is still WiP, I would suggest we start with adding examples to v1.
v1 models
DeepARDecoderMLPNBeatsNBeatsKANNHiTSRNNTFTTiDETimeXerxLSTMTimev2 models
To be done once the design is finalised