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export CUDA_VISIBLE_DEVICES=6


# model_name=
for model_name in DLinear TimesNet ETSformer Autoformer Informer Reformer
do
  python -u run.py \
    --task_name short_term_forecast \
    --is_training 1 \
    --root_path ./dataset/poly \
    --seasonal_patterns 'Daily' \
    --model_id poly_Daily \
    --model $model_name \
    --data poly \
    --features M \
    --e_layers 2 \
    --d_layers 1 \
    --factor 3 \
    --enc_in 1 \
    --dec_in 1 \
    --c_out 1 \
    --batch_size 128 \
    --d_model 128 \
    --des 'Exp' \
    --itr 1 \
    --learning_rate 0.001 
done