rm -rf /root/DUET/result/visualizations/ETTh2.csv 2>/dev/null; cd /root/DUET
python ./scripts/run_benchmark.py
--config-path "rolling_forecast_config.json"
--data-name-list "ETTh2.csv"
--strategy-args '{"horizon": 336, "save_vis": true, "num_rollings": 1}'
--model-name "duet.DUET"
--model-hyper-params '{"CI": 1, "batch_size": 64, "d_ff": 1024, "d_model": 512, "dropout": 0.2, "e_layers": 1, "factor": 3, "fc_dropout": 0.1, "horizon": 336, "k": 3, "loss": "MAE", "lr": 0.001, "lradj": "type1", "n_heads": 4, "norm": true, "num_epochs": 50, "num_experts": 4, "patch_len": 48, "patience": 5, "seq_len": 512, "use_quantum_block": true, "use_highway_gate": false}'
--deterministic "full"
--gpus 0
--num-workers 1
--timeout 60000
--save-path "ETTh2/paper_fig7_test" 2>&1
python ./scripts/run_benchmark.py
--config-path "rolling_forecast_config.json"
--data-name-list "ETTh2.csv"
--strategy-args '{"horizon": 336, "save_vis": true, "num_rollings": 1}'
--model-name "duet.DUET"
--model-hyper-params '{"CI": 1, "batch_size": 64, "d_ff": 1024, "d_model": 512, "dropout": 0.2, "e_layers": 1, "factor": 3, "fc_dropout": 0.1, "horizon": 336, "k": 3, "loss": "MAE", "lr": 0.001, "lradj": "type1", "n_heads": 4, "norm": true, "num_epochs": 50, "num_experts": 4, "patch_len": 48, "patience": 5, "seq_len": 512, "use_quantum_block": true, "use_highway_gate": false}'
--deterministic "full"
--gpus 0
--num-workers 1
--timeout 60000
--save-path "ETTh2/split_fig_test" 2>&1