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run_tests.sh
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run_tests.sh
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## new datasets for testing
# region internal
#python main_inference.py --config config_lstm.json --dataset "/data/track-ml/eramia/dataset/eta_n0.5-0.5_phi_n0.5-0.5.csv" --cylindrical False --load True
#python main_inference.py --config config_lstm.json --dataset "/data/track-ml/eramia/dataset/eta_n0.5-0.5_phi_n0.5-0.5.csv" --cylindrical True --load True
# intermediary region
#python main_inference.py --config config_lstm.json --dataset "/data/track-ml/eramia/results/eta_0.0-1.0_phi_0.0-1.0.csv " --cylindrical False
#python main_inference.py --config config_lstm.json --dataset "/data/track-ml/eramia/results/eta_0.0-1.0_phi_0.0-1.0.csv " --cylindrical True
# external region
#python main_inference.py --config config_lstm.json --dataset "/data/track-ml/eramia/dataset/eta_n0.5-0.5_phi_ninf-pinf.csv" --cylindrical True --load True
# internal region
# LSTM-parallel model
python script_generate_dist.py --dataset "dataset/eta_n0.5-0.5_phi_n0.5-0.5_internal_short1.csv" --cylindrical True --split 0.8 --normalise True --type_norm maxmin
python main_inference.py --config config_lstm_parallel_internal.json --dataset "dataset/eta_n0.5-0.5_phi_n0.5-0.5_internal_short1.csv" --cylindrical True --normalise True --load True --typeopt nearest