Time Series Forecasting

Usage

1. Install Python 3.8. Then, install project dependencies with the following command.

   pip install -r requirements.txt
   

2. Prepare data. You can obtain raw datasets from this [Link]. Unzip and place the downloaded datasets in the root directory as ./datasets.

3. Train and evaluate models with the commands provided in ./commands.txt.

   bash scripts/ETT/IFT_ETTh1.sh
   

4. View forecasting results in the generated table ./table.txt.

Acknowledgement

This project is built based on the repository Time-Series-Library. We sincerely thank all corresponding contributors.