/LSTNet_Pytorch

Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)

Primary LanguagePythonMIT LicenseMIT

Time series forecasting

Research paper:

Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)

Dataset:

You can download the datasets mentioned in the paper at https://github.com/laiguokun/multivariate-time-series-data.

Bash script:

We give the examples to run different datasets in ele.sh, traffic.sh, solar.sh and stock.sh.

Environment and Dependencies:

  1. Create Conda Environment with Python 3.7
  2. Install compatible PyTorch from https://pytorch.org/
  3. Create folder data and clone the dataset
  4. Run any Bash file on cmd or Power shell (windows)