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sumup.py
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sumup.py
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import json
import sys
import numpy as np
if sys.argv[1].endswith('ner'):
delta = 0
if sys.argv[1].startswith('sci'):
prefix = 'sciner_models/'+sys.argv[2]
elif sys.argv[1].startswith('ace04'):
prefix = 'ace04ner_models/'+sys.argv[2]
delta = 42
elif sys.argv[1].startswith('conll03'):
prefix = 'conll03_models/'+sys.argv[2]
elif sys.argv[1].startswith('fewnerd'):
prefix = 'fewnerd_models/'+sys.argv[2]
elif sys.argv[1].startswith('ontonotes'):
prefix = 'ontonotes_models/'+sys.argv[2]
else:
prefix = 'ace05ner_models/'+sys.argv[2]
f1s = []
for i in range(42-delta, 47-delta):
fileename = prefix + '-' + str(i) + '/results.json'
try:
f1 = json.load(open(fileename))['f1_overlap_']
print (fileename)
f1s.append(f1)
except:
pass
try:
print ('F1_overlap:')
print (f1s)
print (sum(f1s)/len(f1s))
except:
pass
precisions = []
for i in range(42-delta, 47-delta):
filename = prefix + '-' + str(i) + '/results.json'
try:
precision = json.load(open(filename))['precision_']
print (filename)
precisions.append(precision)
except:
pass
try:
print ('Precision:')
print (precisions)
precisions = np.array(precisions)
print (np.mean(precisions)*100)
print (np.std(precisions)*100)
except:
pass
recalls = []
for i in range(42-delta, 47-delta):
filename = prefix + '-' + str(i) + '/results.json'
try:
try:
recall = json.load(open(filename))['recall_score_']
except:
recall = json.load(open(filename))['recall_']
print (filename)
recalls.append(recall)
except:
pass
try:
print ('Recall:')
print (recalls)
recalls = np.array(recalls)
print (np.mean(recalls)*100)
print (np.std(recalls)*100)
except:
pass
f1s = []
for i in range(42-delta, 47-delta):
filename = prefix + '-' + str(i) + '/results.json'
try:
f1 = json.load(open(filename))['f1_']
print (filename)
f1s.append(f1)
except:
pass
try:
print ('F1:')
print (f1s)
f1s = np.array(f1s)
print (np.mean(f1s)*100)
print (np.std(f1s)*100)
except:
pass
elif sys.argv[1].endswith('re'):
delta = 0
if sys.argv[1].startswith('sci'):
prefix = 'scire_models/'+sys.argv[2]
elif sys.argv[1].startswith('ace04'):
prefix = 'ace04re_models/'+sys.argv[2]
delta = 42
else:
prefix = 'ace05re_models/'+sys.argv[2]
resultfilename = '/results.json'
f1s = []
for i in range(42-delta, 47-delta):
fileename = prefix + '-' + str(i) + resultfilename
try:
f1 = json.load(open(fileename))['ner_f1_']
print (fileename)
f1s.append(f1)
except:
pass
try:
print ('NER F1:')
print (f1s)
# print (sum(f1s)/len(f1s))
f1s = np.array(f1s)
print (np.mean(f1s)*100)
print (np.std(f1s)*100)
except:
pass
f1s = []
for i in range(42-delta, 47-delta):
fileename = prefix + '-' + str(i) + resultfilename
try:
f1 = json.load(open(fileename))['f1_']
print (fileename)
f1s.append(f1)
except:
pass
print ('F1:')
print (f1s)
f1s = np.array(f1s)
print (np.mean(f1s)*100)
print (np.std(f1s)*100)
f1s = []
for i in range(42-delta, 47-delta):
fileename = prefix + '-' + str(i) + resultfilename
try:
f1 = json.load(open(fileename))['f1_with_ner_']
print (fileename)
f1s.append(f1)
except:
pass
print ('F1+:')
print (f1s)
f1s = np.array(f1s)
print (np.mean(f1s)*100)
print (np.std(f1s)*100)