# SSNet 

## Prerequisites

- python >= 3.8

```shell
pip install -r requirements.txt
```

## Auto-correlation

Get top K periods first.

```shell
python ./utils/get_topk_periods.py
```

## Training

All scripts are located in `./scripts/`, running results saved at `./results.txt`

```shell
sh ./scripts/best/ssnet/etth1.sh
```

For larger datasets, such as the Traffic dataset, you will need a larger graphics card footprint. A NVIDIA graphics card with 80GB of VRAM is required, or modify the training script to use `--use_multi_gpu` and `--devices` to specify multiple gpus for training.

