first commit

scripts/long_term_forecast/AugmentSample/Classification/PatchTST.sh

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+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