python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 96}' --model-name "darts.TCNModel" --model-hyper-params '{"input_chunk_length": 512, "n_epochs": 100, "norm": true, "output_chunk_length": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/TCNModel"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 192}' --model-name "darts.TCNModel" --model-hyper-params '{"input_chunk_length": 512, "n_epochs": 100, "norm": true, "output_chunk_length": 192}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/TCNModel"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 336}' --model-name "darts.TCNModel" --model-hyper-params '{"input_chunk_length": 512, "n_epochs": 100, "norm": true, "output_chunk_length": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/TCNModel"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 720}' --model-name "darts.TCNModel" --model-hyper-params '{"input_chunk_length": 960, "n_epochs": 100, "norm": true, "output_chunk_length": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/TCNModel"

