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TSlib/scripts/long_term_forecast/ECL_script/SegRNN.sh
2025-08-28 10:17:59 +00:00

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export CUDA_VISIBLE_DEVICES=0
model_name=SegRNN
seq_len=96
for pred_len in 96 192 336 720
do
python -u run.py \
--task_name long_term_forecast \
--is_training 1 \
--root_path ./dataset/electricity/ \
--data_path electricity.csv \
--model_id ECL_$seq_len'_'$pred_len \
--model $model_name \
--data custom \
--features M \
--seq_len $seq_len \
--pred_len $pred_len \
--seg_len 24 \
--enc_in 321 \
--d_model 512 \
--dropout 0 \
--learning_rate 0.001 \
--des 'Exp' \
--itr 1
done