TimeBridge

Install the required Python packages using pip and the provided requirements file.

pip install -r requirements.txt

Download the dataset from Google Drive and extract it into the project's root directory. The extracted folder must be named dataset and follow this specific directory structure:

dataset
├── electricity
│   └── electricity.csv
├── ETT-small
│   ├── ETTh1.csv
│   ├── ETTh2.csv
│   ├── ETTm1.csv
│   └── ETTm2.csv
├── PEMS
│   ├── PEMS03.npz
│   ├── PEMS04.npz
│   ├── PEMS07.npz
│   └── PEMS08.csv
├── Solar
│   └── solar_AL.txt
├── traffic
│   └── traffic.csv
└── weather
    └── weather.csv

Training and evaluation scripts are located in the scripts directory. To run a training session (for example, on the Solar-Energy dataset), execute the corresponding shell script from the project root.

sh ./scripts/TimeBridge.sh