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Wendi Li
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# Temporal Fusion Transformers Benchmark # Temporal Fusion Transformers Benchmark
## Source ## Source
https://github.com/google-research/google-research/tree/master/tft **Reference**: Lim, Bryan, et al. "Temporal fusion transformers for interpretable multi-horizon time series forecasting." arXiv preprint arXiv:1912.09363 (2019).
**GitHub**: https://github.com/google-research/google-research/tree/master/tft
## Run the Workflow ## Run the Workflow
Users can follow the ``workflow_by_code_tft.py`` to run the benchmark. Users can follow the ``workflow_by_code_tft.py`` to run the benchmark.
### Notes ### Notes
1. The model must run in GPU, or an error will be raised. 1. The model must run in GPU, or an error will be raised.
2. New datasets should be registered in ``data_formatters``, for detail please visit the source. 2. New datasets should be registered in ``data_formatters``, for detail please visit the source.