first commit

scripts/long_term_forecast/ECL_script/TimeMixer.sh

@@ -0,0 +1,134 @@
+#export CUDA_VISIBLE_DEVICES=0
+
+model_name=TimeMixer
+
+seq_len=96
+e_layers=3
+down_sampling_layers=3
+down_sampling_window=2
+learning_rate=0.01
+d_model=16
+d_ff=32
+batch_size=32
+train_epochs=20
+patience=10
+
+python -u run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_$seq_len'_'96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len $seq_len \
+  --label_len 0 \
+  --pred_len 96 \
+  --e_layers $e_layers \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --des 'Exp' \
+  --itr 1 \
+  --d_model $d_model \
+  --d_ff $d_ff \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --train_epochs $train_epochs \
+  --patience $patience \
+  --down_sampling_layers $down_sampling_layers \
+  --down_sampling_method avg \
+  --down_sampling_window $down_sampling_window
+
+python -u run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_$seq_len'_'192 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len $seq_len \
+  --label_len 0 \
+  --pred_len 192 \
+  --e_layers $e_layers \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --des 'Exp' \
+  --itr 1 \
+  --d_model $d_model \
+  --d_ff $d_ff \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --train_epochs $train_epochs \
+  --patience $patience \
+  --down_sampling_layers $down_sampling_layers \
+  --down_sampling_method avg \
+  --down_sampling_window $down_sampling_window
+
+python -u run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_$seq_len'_'336 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len $seq_len \
+  --label_len 0 \
+  --pred_len 336 \
+  --e_layers $e_layers \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --des 'Exp' \
+  --itr 1 \
+  --d_model $d_model \
+  --d_ff $d_ff \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --train_epochs $train_epochs \
+  --patience $patience \
+  --down_sampling_layers $down_sampling_layers \
+  --down_sampling_method avg \
+  --down_sampling_window $down_sampling_window
+
+python -u run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_$seq_len'_'720 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len $seq_len \
+  --label_len 0 \
+  --pred_len 720 \
+  --e_layers $e_layers \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --des 'Exp' \
+  --itr 1 \
+  --d_model $d_model \
+  --d_ff $d_ff \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --train_epochs $train_epochs \
+  --patience $patience \
+  --down_sampling_layers $down_sampling_layers \
+  --down_sampling_method avg \
+  --down_sampling_window $down_sampling_window