Download scripts/imputation/Weather_script/Transformer.sh from lwaekfjlk/Time-Series-Library: direct link, hf CLI and curl.
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| export CUDA_VISIBLE_DEVICES=0 | |
| model_name=Transformer | |
| python -u run.py \ | |
| --task_name imputation \ | |
| --is_training 1 \ | |
| --root_path ./dataset/weather/ \ | |
| --data_path weather.csv \ | |
| --model_id weather_mask_0.125 \ | |
| --mask_rate 0.125 \ | |
| --model $model_name \ | |
| --data custom \ | |
| --features M \ | |
| --seq_len 96 \ | |
| --label_len 0 \ | |
| --pred_len 0 \ | |
| --e_layers 2 \ | |
| --d_layers 1 \ | |
| --factor 3 \ | |
| --enc_in 21 \ | |
| --dec_in 21 \ | |
| --c_out 21 \ | |
| --batch_size 16 \ | |
| --d_model 128 \ | |
| --d_ff 128 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| --top_k 5 \ | |
| --learning_rate 0.001 | |
| python -u run.py \ | |
| --task_name imputation \ | |
| --is_training 1 \ | |
| --root_path ./dataset/weather/ \ | |
| --data_path weather.csv \ | |
| --model_id weather_mask_0.25 \ | |
| --mask_rate 0.25 \ | |
| --model $model_name \ | |
| --data custom \ | |
| --features M \ | |
| --seq_len 96 \ | |
| --label_len 0 \ | |
| --pred_len 0 \ | |
| --e_layers 2 \ | |
| --d_layers 1 \ | |
| --factor 3 \ | |
| --enc_in 21 \ | |
| --dec_in 21 \ | |
| --c_out 21 \ | |
| --batch_size 16 \ | |
| --d_model 128 \ | |
| --d_ff 128 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| --top_k 5 \ | |
| --learning_rate 0.001 | |
| python -u run.py \ | |
| --task_name imputation \ | |
| --is_training 1 \ | |
| --root_path ./dataset/weather/ \ | |
| --data_path weather.csv \ | |
| --model_id weather_mask_0.375 \ | |
| --mask_rate 0.375 \ | |
| --model $model_name \ | |
| --data custom \ | |
| --features M \ | |
| --seq_len 96 \ | |
| --label_len 0 \ | |
| --pred_len 0 \ | |
| --e_layers 2 \ | |
| --d_layers 1 \ | |
| --factor 3 \ | |
| --enc_in 21 \ | |
| --dec_in 21 \ | |
| --c_out 21 \ | |
| --batch_size 16 \ | |
| --d_model 128 \ | |
| --d_ff 128 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| --top_k 5 \ | |
| --learning_rate 0.001 | |
| python -u run.py \ | |
| --task_name imputation \ | |
| --is_training 1 \ | |
| --root_path ./dataset/weather/ \ | |
| --data_path weather.csv \ | |
| --model_id weather_mask_0.5 \ | |
| --mask_rate 0.5 \ | |
| --model $model_name \ | |
| --data custom \ | |
| --features M \ | |
| --seq_len 96 \ | |
| --label_len 0 \ | |
| --pred_len 0 \ | |
| --e_layers 2 \ | |
| --d_layers 1 \ | |
| --factor 3 \ | |
| --enc_in 21 \ | |
| --dec_in 21 \ | |
| --c_out 21 \ | |
| --batch_size 16 \ | |
| --d_model 128 \ | |
| --d_ff 128 \ | |
| --des 'Exp' \ | |
| --itr 1 \ | |
| --top_k 5 \ | |
| --learning_rate 0.001 | |