
#!/bin/bash

# Experiments on different TN-SS method

####================Phase I=================

# TNGA
python tno_jss.py syn_data_TT_5.pt gss_ga_6_100_20
# python tno_jss.py syn_data_stair_5.pt gss_ga_10_100_20
# python tno_jss.py syn_data_brick_5.pt gss_ga_10_100_20
# python tno_jss.py syn_data_random_5.pt gss_ga_10_100_20

# # TnALE
# python tno_jss.py syn_data_TT_5.pt gss_ale_6_10_21
# python tno_jss.py syn_data_stair_5.pt gss_ale_10_10_37
# python tno_jss.py syn_data_brick_5.pt gss_ale_10_10_37
# python tno_jss.py syn_data_random_5.pt gss_ale_10_10_37

# # TNLS
# python tno_jss.py syn_data_TT_5.pt gss_ls_6_100_40
# python tno_jss.py syn_data_stair_5.pt gss_ls_10_100_40
# python tno_jss.py syn_data_brick_5_1.pt gss_ls_10_100_40
# python tno_jss.py syn_data_random_5.pt gss_ls_10_100_40

# # Greedy
# python tno_jss.py syn_data_TT_5.pt gss_greedy_6_10_30
# python tno_jss.py syn_data_stair_5.pt gss_greedy_10_10_30
# python tno_jss.py syn_data_brick_5.pt gss_greedy_10_10_30
# python tno_jss.py syn_data_random_5.pt gss_greedy_10_10_30


####================Phase II=================

# TNGA-SB
python tno_sb.py syn_data_TT_5.pt gss_ga_6_100_20 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_stair_5.pt gss_ga_10_100_20 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_brick_5.pt gss_ga_10_100_20 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_random_5.pt gss_ga_10_100_20 sb_random_1_10_100_0.001

# # TnALE-SB
# python tno_sb.py syn_data_TT_5.pt gss_ale_6_10_21 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_stair_5.pt gss_ale_10_10_37 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_brick_5.pt gss_ale_10_10_37 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_random_5.pt gss_ale_10_10_37 sb_random_1_10_100_0.001

# # TNLS-SB
# python tno_sb.py syn_data_TT_5.pt gss_ls_6_100_40 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_stair_5.pt gss_ls_10_100_40 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_brick_5.pt gss_ls_10_100_40 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_random_5.pt gss_ls_10_100_40 sb_random_1_10_100_0.001

# # Greedy-SB
# python tno_sb.py syn_data_TT_5.pt gss_greedy_6_10_30 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_stair_5.pt gss_greedy_10_10_30 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_brick_5.pt gss_greedy_10_10_30 sb_random_1_10_100_0.001
# python tno_sb.py syn_data_random_5.pt gss_greedy_10_10_30 sb_random_1_10_100_0.001



