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scripts/anomaly_detection/MSL/FEDformer.sh
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scripts/anomaly_detection/MSL/FEDformer.sh
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export CUDA_VISIBLE_DEVICES=0
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python -u run.py \
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--task_name anomaly_detection \
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--is_training 1 \
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--root_path ./dataset/MSL \
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--model_id MSL \
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--model FEDformer \
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--data MSL \
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--features M \
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--seq_len 100 \
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--pred_len 0 \
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--d_model 128 \
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--d_ff 128 \
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--e_layers 3 \
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--enc_in 55 \
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--c_out 55 \
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--anomaly_ratio 1 \
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--batch_size 128 \
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--train_epochs 10
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