sktime / sktime/pytorch-forecasting
TFT results with original data in the paper
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Description
- PyTorch-Forecasting version: 0.9.0
- PyTorch version: 1.9.0+cu102
- Python version: 3.7.4
- Operating System: Windows 10 Pro
Expected behavior
Thanks for the awesome library.
This is a generic question, was Pytorch forecasting TFT ever tested with the original data used in the paper ? We are planning on using TFT for some forecasts on multi-variate data. However I have one doubt is the current implementation benchmarked against the original TF implementation
Actual behavior
Code to reproduce the problem
Paste the command(s) you ran and the output. Including a link to a colab notebook will speed up issue resolution.
If there was a crash, please include the traceback here.
The code used to initialize the TimeSeriesDataSet and model should be also included.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are provided. Start by checking whether TFT was tested with the original paper data and benchmarked against the original TensorFlow implementation; done means documenting the comparison or its absence.
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Assessment
- Tech stack
- python, pytorch, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100