train_auto_batch.sh

##################### ALMA BAND 3 #####################

# gzip -k llda_train_input/alma_band_3_tr.dat
# python train_auto.py llda_train_input/alma_band_3_tr.dat.gz 0.4 4.1 134 500 model_alma_band_3_tr_500it
# rm llda_train_input/alma_band_3_tr.dat.gz

# gzip -k llda_train_input/alma_band_3_2.dat
# python train_auto.py llda_train_input/alma_band_3_2.dat.gz 0.4 0.04 134 500 model_alma_band_3_2_500it
# rm llda_train_input/alma_band_3_2.dat.gz

# gzip -k llda_train_input/alma_band_3_3.dat
# python train_auto.py llda_train_input/alma_band_3_3.dat.gz 0.4 0.008 134 500 model_alma_band_3_3_500it
# rm llda_train_input/alma_band_3_3.dat.gz

# gzip -k llda_train_input/alma_band_3_4.dat
# python train_auto.py llda_train_input/alma_band_3_4.dat.gz 0.4 0.005 134 500 model_alma_band_3_4_500it
# rm llda_train_input/alma_band_3_4.dat.gz

# gzip -k llda_train_input/alma_band_3_full.dat
# python train_auto.py llda_train_input/alma_band_3_full.dat.gz 0.4 0.005 134 500 model_alma_band_3_full_500it
# rm llda_train_input/alma_band_3_full.dat.gz

# gzip -k llda_train_input/alma_band_3_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_3_full_expanded_00050_x3.dat.gz 0.4 0.1 133 500 model_alma_band_3_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_3_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_3_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_3_full_expanded_00100_x3.dat.gz 0.4 0.1 133 500 model_alma_band_3_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_3_full_expanded_00100_x3.dat.gz

##################### ALMA BAND 4 #####################

# gzip -k llda_train_input/alma_band_4_tr.dat
# python train_auto.py llda_train_input/alma_band_4_tr.dat.gz 0.4 3.4 133 500 model_alma_band_4_tr_500it
# rm llda_train_input/alma_band_4_tr.dat.gz

# gzip -k llda_train_input/alma_band_4_2.dat
# python train_auto.py llda_train_input/alma_band_4_2.dat.gz 0.4 0.035 133 500 model_alma_band_4_2_500it
# rm llda_train_input/alma_band_4_2.dat.gz

# gzip -k llda_train_input/alma_band_4_3.dat
# python train_auto.py llda_train_input/alma_band_4_3.dat.gz 0.4 0.007 133 500 model_alma_band_4_4_500it
# rm llda_train_input/alma_band_4_3.dat.gz

# gzip -k llda_train_input/alma_band_4_4.dat
# python train_auto.py llda_train_input/alma_band_4_4.dat.gz 0.4 X 133 500 model_alma_band_4_4_500it
# rm llda_train_input/alma_band_4_4.dat.gz

# gzip -k llda_train_input/alma_band_4_full.dat
# python train_auto.py llda_train_input/alma_band_4_full.dat.gz 0.4 0.004 133 500 model_alma_band_4_full_500it
# rm llda_train_input/alma_band_4_full.dat.gz

# gzip -k llda_train_input/alma_band_4_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_4_full_expanded_00050_x3.dat.gz 0.4 0.1 133 500 model_alma_band_4_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_4_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_4_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_4_full_expanded_00100_x3.dat.gz 0.4 0.1 133 500 model_alma_band_4_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_4_full_expanded_00100_x3.dat.gz

##################### ALMA BAND 5 #####################

# gzip -k llda_train_input/alma_band_5_tr.dat
# python train_auto.py llda_train_input/alma_band_5_tr.dat.gz 0.4 2.735 134 500 model_alma_band_5_tr_500it
# rm llda_train_input/alma_band_5_tr.dat.gz

# gzip -k llda_train_input/alma_band_5_2.dat
# python train_auto.py llda_train_input/alma_band_5_2.dat.gz 0.4 0.028 134 500 model_alma_band_5_2_500it
# rm llda_train_input/alma_band_5_2.dat.gz

# gzip -k llda_train_input/alma_band_5_3.dat
# python train_auto.py llda_train_input/alma_band_5_3.dat.gz 0.4 0.005 134 500 model_alma_band_5_4_500it
# rm llda_train_input/alma_band_5_3.dat.gz

# gzip -k llda_train_input/alma_band_5_4.dat
# python train_auto.py llda_train_input/alma_band_5_4.dat.gz 0.4 X 134 500 model_alma_band_5_4_500it
# rm llda_train_input/alma_band_5_4.dat.gz

# gzip -k llda_train_input/alma_band_5_full.dat
# python train_auto.py llda_train_input/alma_band_5_full.dat.gz 0.4 0.003 134 500 model_alma_band_5_full_500it
# rm llda_train_input/alma_band_5_full.dat.gz

# gzip -k llda_train_input/alma_band_5_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_5_full_expanded_00050_x3.dat.gz 0.4 0.1 134 500 model_alma_band_5_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_5_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_5_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_5_full_expanded_00100_x3.dat.gz 0.4 0.1 134 500 model_alma_band_5_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_5_full_expanded_00100_x3.dat.gz

##################### ALMA BAND 6 #####################

# gzip -k llda_train_input/alma_band_6_tr.dat
# python train_auto.py llda_train_input/alma_band_6_tr.dat.gz 0.4 2.0 133 500 model_alma_band_6_tr_500it
# rm llda_train_input/alma_band_6_tr.dat.gz

# gzip -k llda_train_input/alma_band_6_2.dat
# python train_auto.py llda_train_input/alma_band_6_2.dat.gz 0.4 0.02 133 500 model_alma_band_6_2_500it
# rm llda_train_input/alma_band_6_2.dat.gz

# gzip -k llda_train_input/alma_band_6_3.dat
# python train_auto.py llda_train_input/alma_band_6_3.dat.gz 0.4 0.003 133 500 model_alma_band_6_3_500it
# rm llda_train_input/alma_band_6_3.dat.gz

# gzip -k llda_train_input/alma_band_6_4.dat
# python train_auto.py llda_train_input/alma_band_6_4.dat.gz 0.4 0.002 133 500 model_alma_band_6_4_500it
# rm llda_train_input/alma_band_6_4.dat.gz

# gzip -k llda_train_input/alma_band_6_full.dat
# python train_auto.py llda_train_input/alma_band_6_full.dat.gz 0.4 0.002 133 500 model_alma_band_6_full_500it
# rm llda_train_input/alma_band_6_full.dat.gz

# gzip -k llda_train_input/alma_band_6_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_6_full_expanded_00050_x3.dat.gz 0.4 0.1 133 500 model_alma_band_6_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_6_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_6_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_6_full_expanded_00100_x3.dat.gz 0.4 0.1 133 500 model_alma_band_6_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_6_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/alma_band_6_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/alma_band_6_full_expanded_01000_x3.dat.gz 0.4 0.1 133 500 model_alma_band_6_full_expanded_01000_x3_500it
# rm llda_train_input/alma_band_6_full_expanded_01000_x3.dat.gz

##################### ALMA BAND 7 #####################

# gzip -k llda_train_input/alma_band_7_tr.dat
# python train_auto.py llda_train_input/alma_band_7_tr.dat.gz 0.4 2.49 132 500 model_alma_band_7_tr_500it
# rm llda_train_input/alma_band_7_tr.dat.gz

# gzip -k llda_train_input/alma_band_7_2.dat
# python train_auto.py llda_train_input/alma_band_7_2.dat.gz 0.4 0.02 132 500 model_alma_band_7_2_500it
# rm llda_train_input/alma_band_7_2.dat.gz

# gzip -k llda_train_input/alma_band_7_3.dat
# python train_auto.py llda_train_input/alma_band_7_3.dat.gz 0.4 0.005 132 500 model_alma_band_7_3_500it
# rm llda_train_input/alma_band_7_3.dat.gz

# gzip -k llda_train_input/alma_band_7_4.dat
# python train_auto.py llda_train_input/alma_band_7_4.dat.gz 0.4 0.003 132 500 model_alma_band_7_4_500it
# rm llda_train_input/alma_band_7_4.dat.gz

# gzip -k llda_train_input/alma_band_7_full.dat
# python train_auto.py llda_train_input/alma_band_7_full.dat.gz 0.4 0.003 132 500 model_alma_band_7_full_500it
# rm llda_train_input/alma_band_7_full.dat.gz

# gzip -k llda_train_input/alma_band_7_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_7_full_expanded_00050_x3.dat.gz 0.4 0.1 132 500 model_alma_band_7_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_7_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_7_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_7_full_expanded_00100_x3.dat.gz 0.4 0.1 132 500 model_alma_band_7_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_7_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/alma_band_7_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/alma_band_7_full_expanded_01000_x3.dat.gz 0.4 0.1 132 500 model_alma_band_7_full_expanded_01000_x3_500it
# rm llda_train_input/alma_band_7_full_expanded_01000_x3.dat.gz

##################### ALMA BAND 8 #####################

# gzip -k llda_train_input/alma_band_8_tr.dat
# python train_auto.py llda_train_input/alma_band_8_tr.dat.gz 0.4 2.4 122 500 model_alma_band_8_tr_500it
# rm llda_train_input/alma_band_8_tr.dat.gz

# gzip -k llda_train_input/alma_band_8_2.dat
# python train_auto.py llda_train_input/alma_band_8_2.dat.gz 0.4 0.03 122 500 model_alma_band_8_2_500it
# rm llda_train_input/alma_band_8_2.dat.gz

# gzip -k llda_train_input/alma_band_8_3.dat
# python train_auto.py llda_train_input/alma_band_8_3.dat.gz 0.4 0.005 122 500 model_alma_band_8_3_500it
# rm llda_train_input/alma_band_8_3.dat.gz

# gzip -k llda_train_input/alma_band_8_4.dat
# python train_auto.py llda_train_input/alma_band_8_4.dat.gz 0.4 0.003 122 500 model_alma_band_8_4_500it
# rm llda_train_input/alma_band_8_4.dat.gz

# gzip -k llda_train_input/alma_band_8_full.dat
# python train_auto.py llda_train_input/alma_band_8_full.dat.gz 0.4 0.003 122 500 model_alma_band_8_full_500it
# rm llda_train_input/alma_band_8_full.dat.gz

# gzip -k llda_train_input/alma_band_8_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_8_full_expanded_00050_x3.dat.gz 0.4 0.1 122 500 model_alma_band_8_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_8_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_8_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_8_full_expanded_00100_x3.dat.gz 0.4 0.1 122 500 model_alma_band_8_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_8_full_expanded_00100_x3.dat.gz

##################### ALMA BAND 9 #####################

# gzip -k llda_train_input/alma_band_9_tr.dat
# python train_auto.py llda_train_input/alma_band_9_tr.dat.gz 0.4 1.8 114 500 model_alma_band_9_tr_500it
# rm llda_train_input/alma_band_9_tr.dat.gz

# gzip -k llda_train_input/alma_band_9_2.dat
# python train_auto.py llda_train_input/alma_band_9_2.dat.gz 0.4 0.02 114 500 model_alma_band_9_2_500it
# rm llda_train_input/alma_band_9_2.dat.gz

# gzip -k llda_train_input/alma_band_9_3.dat
# python train_auto.py llda_train_input/alma_band_9_3.dat.gz 0.4 0.004 114 500 model_alma_band_9_3_500it
# rm llda_train_input/alma_band_9_3.dat.gz

# gzip -k llda_train_input/alma_band_9_4.dat
# python train_auto.py llda_train_input/alma_band_9_4.dat.gz 0.4 0.003 114 500 model_alma_band_9_4_500it
# rm llda_train_input/alma_band_9_4.dat.gz

# gzip -k llda_train_input/alma_band_9_full.dat
# python train_auto.py llda_train_input/alma_band_9_full.dat.gz 0.4 0.002 114 500 model_alma_band_9_full_500it
# rm llda_train_input/alma_band_9_full.dat.gz

# gzip -k llda_train_input/alma_band_9_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_9_full_expanded_00050_x3.dat.gz 0.4 0.1 122 500 model_alma_band_9_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_9_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_9_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_9_full_expanded_00100_x3.dat.gz 0.4 0.1 122 500 model_alma_band_9_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_9_full_expanded_00100_x3.dat.gz

##################### ALMA BAND 10 #####################

# gzip -k llda_train_input/alma_band_10_tr.dat
# python train_auto.py llda_train_input/alma_band_10_tr.dat.gz 0.4 1.425 114 500 model_alma_band_10_tr_500it
# rm llda_train_input/alma_band_10_tr.dat.gz

# gzip -k llda_train_input/alma_band_10_2.dat
# python train_auto.py llda_train_input/alma_band_10_2.dat.gz 0.4 0.015 114 500 model_alma_band_10_2_500it
# rm llda_train_input/alma_band_10_2.dat.gz

# gzip -k llda_train_input/alma_band_10_3.dat
# python train_auto.py llda_train_input/alma_band_10_3.dat.gz 0.4 0.004 114 500 model_alma_band_10_3_500it
# rm llda_train_input/alma_band_10_3.dat.gz

# gzip -k llda_train_input/alma_band_10_4.dat
# python train_auto.py llda_train_input/alma_band_10_4.dat.gz 0.4 0.003 114 500 model_alma_band_10_4_500it
# rm llda_train_input/alma_band_10_4.dat.gz

# gzip -k llda_train_input/alma_band_10_full.dat
# python train_auto.py llda_train_input/alma_band_10_full.dat.gz 0.4 0.002 114 500 model_alma_band_10_full_500it
# rm llda_train_input/alma_band_10_full.dat.gz

# gzip -k llda_train_input/alma_band_10_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/alma_band_10_full_expanded_00050_x3.dat.gz 0.4 0.1 114 500 model_alma_band_10_full_expanded_00050_x3_500it
# rm llda_train_input/alma_band_10_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/alma_band_10_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/alma_band_10_full_expanded_00100_x3.dat.gz 0.4 0.1 114 500 model_alma_band_10_full_expanded_00100_x3_500it
# rm llda_train_input/alma_band_10_full_expanded_00100_x3.dat.gz

##################### HOT CORES #####################

# gzip -k llda_train_input/hot_cores_tr.dat
# python train_auto.py llda_train_input/hot_cores_tr.dat.gz 0.6 0.009 85 500 model_hot_cores_tr_500it
# rm llda_train_input/hot_cores_tr.dat.gz

# gzip -k llda_train_input/hot_cores_2.dat
# python train_auto.py llda_train_input/hot_cores_2.dat.gz 0.6 0.0005 85 500 model_hot_cores_2_500it
# rm llda_train_input/hot_cores_2.dat.gz

# gzip -k llda_train_input/hot_cores_3.dat
# python train_auto.py llda_train_input/hot_cores_3.dat.gz 0.6 0.0002 85 500 model_hot_cores_3_500it
# rm llda_train_input/hot_cores_3.dat.gz

# gzip -k llda_train_input/hot_cores_4.dat
# python train_auto.py llda_train_input/hot_cores_4.dat.gz 0.6 0.0002 85 500 model_hot_cores_4_500it
# rm llda_train_input/hot_cores_4.dat.gz

# gzip -k llda_train_input/hot_cores_full.dat
# python train_auto.py llda_train_input/hot_cores_full.dat.gz 0.6 0.0001 85 500 model_hot_cores_full_500it
# rm llda_train_input/hot_cores_full.dat.gz

# gzip -k llda_train_input/hot_cores_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/hot_cores_full_expanded_00050_x3.dat.gz 0.6 0.1 85 500 model_hot_cores_full_expanded_00050_x3_500it
# rm llda_train_input/hot_cores_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/hot_cores_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/hot_cores_full_expanded_00100_x3.dat.gz 0.6 0.1 85 500 model_hot_cores_full_expanded_00100_x3_500it
# rm llda_train_input/hot_cores_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/hot_cores_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/hot_cores_full_expanded_01000_x3.dat.gz 0.6 0.1 85 500 model_hot_cores_full_expanded_01000_x3_500it
# rm llda_train_input/hot_cores_full_expanded_01000_x3.dat.gz

##################### AGB_PPN_PN #####################

# gzip -k llda_train_input/agb_ppn_pn_tr.dat
# python train_auto.py llda_train_input/agb_ppn_pn_tr.dat.gz 0.7 0.007 71 500 model_agb_ppn_pn_tr_500it
# rm llda_train_input/agb_ppn_pn_tr.dat.gz

# gzip -k llda_train_input/agb_ppn_pn_2.dat
# python train_auto.py llda_train_input/agb_ppn_pn_2.dat.gz 0.7 0.0008 71 500 model_agb_ppn_pn_2_500it
# rm llda_train_input/agb_ppn_pn_2.dat.gz

# gzip -k llda_train_input/agb_ppn_pn_full.dat
# python train_auto.py llda_train_input/agb_ppn_pn_full.dat.gz 0.7 0.0004 71 500 model_agb_ppn_pn_full_500it
# rm llda_train_input/agb_ppn_pn_full.dat.gz

# gzip -k llda_train_input/agb_ppn_pn_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/agb_ppn_pn_full_expanded_00050_x3.dat.gz 0.7 0.1 71 500 model_agb_ppn_pn_full_expanded_00050_x3_500it
# rm llda_train_input/agb_ppn_pn_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/agb_ppn_pn_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/agb_ppn_pn_full_expanded_00100_x3.dat.gz 0.7 0.1 71 500 model_agb_ppn_pn_full_expanded_00100_x3_500it
# rm llda_train_input/agb_ppn_pn_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/agb_ppn_pn_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/agb_ppn_pn_full_expanded_01000_x3.dat.gz 0.7 0.1 71 500 model_agb_ppn_pn_full_expanded_01000_x3_500it
# rm llda_train_input/agb_ppn_pn_full_expanded_01000_x3.dat.gz

##################### PLANETARY #####################

# gzip -k llda_train_input/planetary_tr.dat
# python train_auto.py llda_train_input/planetary_tr.dat.gz 2.5 0.003 20 500 model_planetary_tr_500it
# rm llda_train_input/planetary_tr.dat.gz

# gzip -k llda_train_input/planetary_2.dat
# python train_auto.py llda_train_input/planetary_2.dat.gz 2.5 0.0009 20 500 model_planetary_2_500it
# rm llda_train_input/planetary_2.dat.gz

# gzip -k llda_train_input/planetary_full.dat
# python train_auto.py llda_train_input/planetary_full.dat.gz 2.5 0.0008 20 500 model_planetary_full_500it
# rm llda_train_input/planetary_full.dat.gz

# gzip -k llda_train_input/planetary_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/planetary_full_expanded_00050_x3.dat.gz 2.5 0.1 20 500 model_planetary_full_expanded_00050_x3_500it
# rm llda_train_input/planetary_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/planetary_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/planetary_full_expanded_00100_x3.dat.gz 2.5 0.1 20 500 model_planetary_full_expanded_00100_x3_500it
# rm llda_train_input/planetary_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/planetary_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/planetary_full_expanded_01000_x3.dat.gz 2.5 0.1 20 500 model_planetary_full_expanded_01000_x3_500it
# rm llda_train_input/planetary_full_expanded_01000_x3.dat.gz

##################### DARK CLOUDS #####################

# gzip -k llda_train_input/dark_clouds_tr.dat
# python train_auto.py llda_train_input/dark_clouds_tr.dat.gz 0.9 0.007 58 500 model_dark_clouds_tr_500it
# rm llda_train_input/dark_clouds_tr.dat.gz

# gzip -k llda_train_input/dark_clouds_2.dat
# python train_auto.py llda_train_input/dark_clouds_2.dat.gz 0.9 0.0005 58 500 model_dark_clouds_2_500it
# rm llda_train_input/dark_clouds_2.dat.gz

# gzip -k llda_train_input/dark_clouds_full.dat
# python train_auto.py llda_train_input/dark_clouds_full.dat.gz 0.9 0.0003 58 500 model_dark_clouds_full_500it
# rm llda_train_input/dark_clouds_full.dat.gz

# gzip -k llda_train_input/dark_clouds_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/dark_clouds_full_expanded_00050_x3.dat.gz 0.9 0.1 58 500 model_dark_clouds_full_expanded_00050_x3_500it
# rm llda_train_input/dark_clouds_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/dark_clouds_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/dark_clouds_full_expanded_00100_x3.dat.gz 0.9 0.1 58 500 model_dark_clouds_full_expanded_00100_x3_500it
# rm llda_train_input/dark_clouds_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/dark_clouds_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/dark_clouds_full_expanded_01000_x3.dat.gz 0.9 0.1 58 500 model_dark_clouds_full_expanded_01000_x3_500it
# rm llda_train_input/dark_clouds_full_expanded_01000_x3.dat.gz

##################### DIFFUSE CLOUDS #####################

# gzip -k llda_train_input/diffuse_clouds_tr.dat
# python train_auto.py llda_train_input/diffuse_clouds_tr.dat.gz 2.1 0.003 24 500 model_diffuse_clouds_tr_500it
# rm llda_train_input/diffuse_clouds_tr.dat.gz

# gzip -k llda_train_input/diffuse_clouds_2.dat
# python train_auto.py llda_train_input/diffuse_clouds_2.dat.gz 2.1 0.0003 24 500 model_diffuse_clouds_2_500it
# rm llda_train_input/diffuse_clouds_2.dat.gz

# gzip -k llda_train_input/diffuse_clouds_full.dat
# python train_auto.py llda_train_input/diffuse_clouds_full.dat.gz 2.1 0.0002 24 500 model_diffuse_clouds_full_500it
# rm llda_train_input/diffuse_clouds_full.dat.gz

# gzip -k llda_train_input/diffuse_clouds_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/diffuse_clouds_full_expanded_00050_x3.dat.gz 2.1 0.1 24 500 model_diffuse_clouds_full_expanded_00050_x3_500it
# rm llda_train_input/diffuse_clouds_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/diffuse_clouds_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/diffuse_clouds_full_expanded_00100_x3.dat.gz 2.1 0.1 24 500 model_diffuse_clouds_full_expanded_00100_x3_500it
# rm llda_train_input/diffuse_clouds_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/diffuse_clouds_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/diffuse_clouds_full_expanded_01000_x3.dat.gz 2.1 0.1 24 500 model_diffuse_clouds_full_expanded_01000_x3_500it
# rm llda_train_input/diffuse_clouds_full_expanded_01000_x3.dat.gz

##################### COMETS #####################

# gzip -k llda_train_input/comets_tr.dat
# python train_auto.py llda_train_input/comets_tr.dat.gz 1.7 0.003 30 500 model_comets_tr_500it
# rm llda_train_input/comets_tr.dat.gz

# gzip -k llda_train_input/comets_2.dat
# python train_auto.py llda_train_input/comets_2.dat.gz 1.7 0.0004 30 500 model_comets_2_500it
# rm llda_train_input/comets_2.dat.gz

# gzip -k llda_train_input/comets_full.dat
# python train_auto.py llda_train_input/comets_full.dat.gz 1.7 0.0003 30 500 model_comets_full_500it
# rm llda_train_input/comets_full.dat.gz

# gzip -k llda_train_input/comets_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/comets_full_expanded_00050_x3.dat.gz 1.7 0.1 30 500 model_comets_full_expanded_00050_x3_500it
# rm llda_train_input/comets_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/comets_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/comets_full_expanded_00100_x3.dat.gz 1.7 0.1 30 500 model_comets_full_expanded_00100_x3_500it
# rm llda_train_input/comets_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/comets_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/comets_full_expanded_01000_x3.dat.gz 1.7 0.1 30 500 model_comets_full_expanded_01000_x3_500it
# rm llda_train_input/comets_full_expanded_01000_x3.dat.gz

##################### EXTRAGALACTIC #####################

# gzip -k llda_train_input/extragalactic_tr.dat
# python train_auto.py llda_train_input/extragalactic_tr.dat.gz 1.4 0.004 36 500 model_extragalactic_tr_500it
# rm llda_train_input/extragalactic_tr.dat.gz

# gzip -k llda_train_input/extragalactic_2.dat
# python train_auto.py llda_train_input/extragalactic_2.dat.gz 1.4 0.0007 36 500 model_extragalactic_2_500it
# rm llda_train_input/extragalactic_2.dat.gz

# gzip -k llda_train_input/extragalactic_full.dat
# python train_auto.py llda_train_input/extragalactic_full.dat.gz 1.4 0.0006 36 500 model_extragalactic_full_500it
# rm llda_train_input/extragalactic_full.dat.gz

# gzip -k llda_train_input/extragalactic_full_expanded_00050_x3.dat
# python train_auto.py llda_train_input/extragalactic_full_expanded_00050_x3.dat.gz 1.4 0.1 36 500 model_extragalactic_full_expanded_00050_x3_500it
# rm llda_train_input/extragalactic_full_expanded_00050_x3.dat.gz

# gzip -k llda_train_input/extragalactic_full_expanded_00100_x3.dat
# python train_auto.py llda_train_input/extragalactic_full_expanded_00100_x3.dat.gz 1.4 0.1 36 500 model_extragalactic_full_expanded_00100_x3_500it
# rm llda_train_input/extragalactic_full_expanded_00100_x3.dat.gz

# gzip -k llda_train_input/extragalactic_full_expanded_01000_x3.dat
# python train_auto.py llda_train_input/extragalactic_full_expanded_01000_x3.dat.gz 1.4 0.1 36 500 model_extragalactic_full_expanded_01000_x3_500it
# rm llda_train_input/extragalactic_full_expanded_01000_x3.dat.gz