| export CUDA_VISIBLE_DEVICES=0 | |
| model_name=PatchTST | |
| for aug in jitter scaling permutation magwarp timewarp windowslice windowwarp rotation spawner dtwwarp shapedtwwarp wdba discdtw discsdtw | |
| do | |
| echo using augmentation: ${aug} | |
| python -u run.py \ | |
| --task_name classification \ | |
| --is_training 1 \ | |
| --root_path ./dataset/EthanolConcentration/ \ | |
| --model_id EthanolConcentration \ | |
| --model $model_name \ | |
| --data UEA \ | |
| --e_layers 3 \ | |
| --batch_size 16 \ | |
| --d_model 128 \ | |
| --d_ff 256 \ | |
| --top_k 3 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| --learning_rate 0.001 \ | |
| --train_epochs 100 \ | |
| --patience 10 \ | |
| --augmentation_ratio 1 \ | |
| --${aug} | |
| done |