if [ ! -d "./logs" ]; then
    mkdir ./logs
fi

if [ ! -d "./logs/LongForecasting" ]; then
    mkdir ./logs/LongForecasting
fi
model_name=SegRNN

root_path_name=./dataset/
data_path_name=ETTm1.csv
model_id_name=ETTm1
data_name=ETTm1

seq_len=720
for random_seed in 2023 2024 2025 2026 2027
    do
    for pred_len in 96 192 336 720
    do
        for dec_way in rmf pmf
        do
            python -u run_longExp.py \
              --is_training 1 \
              --root_path $root_path_name \
              --data_path $data_path_name \
              --model_id $model_id_name'_'$seq_len'_'$pred_len \
              --model $model_name \
              --data $data_name \
              --features M \
              --seq_len $seq_len \
              --pred_len $pred_len \
              --seg_len 48 \
              --enc_in 7 \
              --d_model 512 \
              --dropout 0.5 \
              --train_epochs 30 \
              --patience 5 \
              --rnn_type gru \
              --dec_way $dec_way \
              --channel_id 1 \
              --random_seed $random_seed \
              --des $random_seed \
              --itr 1 --batch_size 256 --learning_rate 0.0002
        done
    done
done

