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26
scripts/long_term_forecast/ETT_script/SegRNN_ETTm1.sh
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26
scripts/long_term_forecast/ETT_script/SegRNN_ETTm1.sh
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export CUDA_VISIBLE_DEVICES=2
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model_name=SegRNN
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seq_len=96
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for pred_len in 96 192 336 720
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do
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python -u run.py \
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--task_name long_term_forecast \
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--is_training 1 \
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--root_path ./dataset/ETT-small/ \
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--data_path ETTm1.csv \
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--model_id ETTm1_$seq_len'_'$pred_len \
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--model $model_name \
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--data ETTm1 \
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--features M \
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--seq_len $seq_len \
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--pred_len $pred_len \
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--seg_len 48 \
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--enc_in 7 \
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--d_model 512 \
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--dropout 0.5 \
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--learning_rate 0.0001 \
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--des 'Exp' \
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--itr 1
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done
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