| export CUDA_VISIBLE_DEVICES=6 | |
| model_name=DLinear | |
| python -u run.py \ | |
| --task_name short_term_forecast \ | |
| --is_training 1 \ | |
| --root_path ./dataset/poly \ | |
| --seasonal_patterns 'Daily' \ | |
| --model_id poly_Daily \ | |
| --model $model_name \ | |
| --data poly \ | |
| --features M \ | |
| --e_layers 2 \ | |
| --d_layers 1 \ | |
| --factor 3 \ | |
| --enc_in 1 \ | |
| --dec_in 1 \ | |
| --c_out 1 \ | |
| --batch_size 128 \ | |
| --d_model 128 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| --learning_rate 0.001 \ | |
| --loss 'SMAPE' |