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
Users can follow the workflow_by_code_tft.py
to run the benchmark.
- Please be aware that this script can only support
Python 3.6 - 3.7
. - If the CUDA version on your machine is not 10.0, please remember to run the following commands
conda install anaconda cudatoolkit=10.0
andconda install cudnn
on your machine. - The model must run in GPU, or an error will be raised.
- New datasets should be registered in
data_formatters
, for detail please visit the source.