| model_name=Mamba | |
| for pred_len in 96 192 336 720 | |
| do | |
| python -u run.py \ | |
| --task_name long_term_forecast \ | |
| --is_training 1 \ | |
| --root_path ./dataset/weather/ \ | |
| --data_path weather.csv \ | |
| --model_id weather_$pred_len'_'$pred_len \ | |
| --model $model_name \ | |
| --data custom \ | |
| --features M \ | |
| --seq_len $pred_len \ | |
| --label_len 48 \ | |
| --pred_len $pred_len \ | |
| --e_layers 2 \ | |
| --d_layers 1 \ | |
| --enc_in 21 \ | |
| --expand 2 \ | |
| --d_ff 16 \ | |
| --d_conv 4 \ | |
| --c_out 21 \ | |
| --d_model 128 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| done |