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inference_all_schilke.sh
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############################## Hot Cores #################################
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 1,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 2,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 3,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 4,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 5,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 6,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 7,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20
# python inference_csv.py llda_models/model_hot_cores_full_500it/ llda_train_input/hot_cores_full_features.dat llda_train_input/hot_cores_full_labelmap.sub 5 Schilke_OrionSurvey.csv 8,200 35,76,12,68,52,66,17,58,55,24,50,60,75,21,0,34,37,16,6,53,48,65,46,56,22,70,20