-
Notifications
You must be signed in to change notification settings - Fork 12
/
Copy pathsignificance.py
201 lines (150 loc) · 8.89 KB
/
significance.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
import argparse
from scipy import stats
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='significance testing',
add_help=False, conflict_handler='resolve')
parser.add_argument('--seed', type=int, default=24, help='random seed')
parser.add_argument('--seed1', type=int, default=24, help='random seed')
parser.add_argument('--seed2', type=int, default=128, help='random seed')
parser.add_argument('--exp_setup_id', type=str, default=None, help='prior or new')
argv = parser.parse_args()
if argv.exp_setup_id == 'prior':
models = ['fs', 'hmtl', 'sp', 'asp']
# significance between MTL and STL models
for mode in ['dev', 'test']:
sign_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/sign_stl_mtl_' + mode + '.txt', 'w')
single_file = open('single-orl/outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
stl_dstrs = [[] for _ in range(4)]
for line in single_file:
for i in range(4):
stl_dstrs[i].append(line.split('\t')[i].split('\n')[0])
for model in models:
model_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/' + model + '/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
model_dstrs = [[] for _ in range(4)]
for line in model_file:
for i in range(4):
model_dstrs[i].append(line.split('\t')[i].split('\n')[0])
pvalues = []
for i in range(4):
_, p = stats.ks_2samp(stl_dstrs[i], model_dstrs[i])
pvalues.append(p)
conditions = ['sign' if p < 0.05 else 'not_sign' for p in pvalues]
sign_file.write('\t'.join(conditions) + '\n')
# significance between FS and other MTL models
for mode in ['dev', 'test']:
sign_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/sign_fs_mtl_' + mode + '.txt', 'w')
fs_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/fs/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
fs_dstrs = [[] for _ in range(4)]
for line in fs_file:
for i in range(4):
fs_dstrs[i].append(line.split('\t')[i].split('\n')[0])
for model in models[1:]:
model_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/' + model + '/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
model_dstrs = [[] for _ in range(4)]
for line in model_file:
for i in range(4):
model_dstrs[i].append(line.split('\t')[i].split('\n')[0])
pvalues = []
for i in range(4):
_, p = stats.ks_2samp(fs_dstrs[i], model_dstrs[i])
pvalues.append(p)
conditions = ['sign' if p < 0.05 else 'not_sign' for p in pvalues]
sign_file.write('\t'.join(conditions) + '\n')
# significance between ASP and SP model
for mode in ['dev', 'test']:
sign_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/sign_asp_sp_' + mode + '.txt', 'w')
asp_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/asp/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
asp_dstrs = [[] for _ in range(4)]
for line in asp_file:
for i in range(4):
asp_dstrs[i].append(line.split('\t')[i].split('\n')[0])
sp_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/sp/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
sp_dstrs = [[] for _ in range(4)]
for line in sp_file:
for i in range(4):
sp_dstrs[i].append(line.split('\t')[i].split('\n')[0])
pvalues = []
for i in range(4):
_, p = stats.ks_2samp(asp_dstrs[i], sp_dstrs[i])
pvalues.append(p)
conditions = ['sign' if p < 0.05 else 'not_sign' for p in pvalues]
sign_file.write('\t'.join(conditions) + '\n')
if argv.exp_setup_id == 'new':
models = ['fs', 'hmtl', 'sp', 'asp']
# significance between MTL and STL models
for mode in ['dev', 'test']:
sign_file = open('outputs/' + argv.exp_setup_id + '/sign_stl_mtl_' + mode + '.txt', 'w')
single_file = []
for seed in [argv.seed1, argv.seed2]:
temp_file = open('single-orl/outputs/' + argv.exp_setup_id + '/' + str(seed) + '/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
single_file.extend(temp_file)
stl_dstrs = [[] for _ in range(4)]
for line in single_file:
for i in range(4):
stl_dstrs[i].append(line.split('\t')[i].split('\n')[0])
for model in models:
model_file = []
for seed in [argv.seed1, argv.seed2]:
temp_file = open('outputs/' + argv.exp_setup_id + '/' + str(seed) + '/' + model + '/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
model_file.extend(temp_file)
model_dstrs = [[] for _ in range(4)]
for line in model_file:
for i in range(4):
model_dstrs[i].append(line.split('\t')[i].split('\n')[0])
pvalues = []
for i in range(4):
_, p = stats.ks_2samp(stl_dstrs[i], model_dstrs[i])
pvalues.append(p)
conditions = ['sign' if p < 0.05 else 'not_sign' for p in pvalues]
sign_file.write('\t'.join(conditions) + '\n')
# significance between FS and other MTL models
for mode in ['dev', 'test']:
sign_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/sign_fs_mtl_' + mode + '.txt', 'w')
fs_file = []
for seed in [argv.seed1, argv.seed2]:
temp_file = open('outputs/' + argv.exp_setup_id + '/' + str(seed) + '/fs/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
fs_file.extend(temp_file)
fs_dstrs = [[] for _ in range(4)]
for line in fs_file:
for i in range(4):
fs_dstrs[i].append(line.split('\t')[i].split('\n')[0])
for model in models[1:]:
model_file = []
for seed in [argv.seed1, argv.seed2]:
temp_file = open('outputs/' + argv.exp_setup_id + '/' + str(seed) + '/' + model + '/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
model_file.extend(temp_file)
model_dstrs = [[] for _ in range(4)]
for line in model_file:
for i in range(4):
model_dstrs[i].append(line.split('\t')[i].split('\n')[0])
pvalues = []
for i in range(4):
_, p = stats.ks_2samp(fs_dstrs[i], model_dstrs[i])
pvalues.append(p)
conditions = ['sign' if p < 0.05 else 'not_sign' for p in pvalues]
sign_file.write('\t'.join(conditions) + '\n')
# significance between ASP and SP model
for mode in ['dev', 'test']:
sign_file = open('outputs/' + argv.exp_setup_id + '/' + str(argv.seed) + '/sign_asp_sp_' + mode + '.txt', 'w')
asp_file = []
for seed in [argv.seed1, argv.seed2]:
temp_file = open('outputs/' + argv.exp_setup_id + '/' + str(seed) + '/asp/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
asp_file.extend(temp_file)
asp_dstrs = [[] for _ in range(4)]
for line in asp_file:
for i in range(4):
asp_dstrs[i].append(line.split('\t')[i].split('\n')[0])
sp_file = []
for seed in [argv.seed1, argv.seed2]:
temp_file = open('outputs/' + argv.exp_setup_id + '/' + str(seed) + '/sp/orl/results/all_folds_' + mode + '_results.txt', 'r').readlines()
sp_file.extend(temp_file)
sp_dstrs = [[] for _ in range(4)]
for line in sp_file:
for i in range(4):
sp_dstrs[i].append(line.split('\t')[i].split('\n')[0])
pvalues = []
for i in range(4):
_, p = stats.ks_2samp(asp_dstrs[i], sp_dstrs[i])
pvalues.append(p)
conditions = ['sign' if p < 0.05 else 'not_sign' for p in pvalues]
sign_file.write('\t'.join(conditions) + '\n')