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significance.py
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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')