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scripts/long_term_forecast/ECL_script/Mamba.sh
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30
scripts/long_term_forecast/ECL_script/Mamba.sh
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model_name=Mamba
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for pred_len in 96 192 336 720
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# for pred_len in 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/electricity/ \
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--data_path electricity.csv \
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--model_id ECL_$pred_len'_'$pred_len \
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--model $model_name \
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--data custom \
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--features M \
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--seq_len $pred_len \
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--label_len 48 \
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--pred_len $pred_len \
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--e_layers 2 \
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--d_layers 1 \
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--enc_in 321 \
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--expand 2 \
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--d_ff 16 \
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--d_conv 4 \
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--c_out 321 \
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--d_model 128 \
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--des 'Exp' \
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--itr 1 \
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done
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