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eval.py
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eval.py
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import json
from segment import predict
max_len = 7
path_sent = 'data/test_sent.json'
path_label = 'data/test_label.json'
with open(path_sent, 'rb') as f:
sents = json.load(f)
with open(path_label, 'rb') as f:
labels = json.load(f)
def get_cut_ind(text):
inds, count = set(), 0
for i in range(len(text)):
if text[i] == ' ':
count = count + 1
inds.add(i - count)
return inds
def test(name, sents, labels):
count, pred_num, label_num = [0] * 3
for sent, label in zip(sents, labels):
pred = predict(sent, name, max_len)
pred_inds, label_inds = get_cut_ind(pred), get_cut_ind(label)
for pred_ind in pred_inds:
if pred_ind in label_inds:
count = count + 1
pred_num = pred_num + len(pred_inds)
label_num = label_num + len(label_inds)
p, r = count / pred_num, count / label_num
f1 = 2 * p * r / (p + r)
print('\n%s - p: %.2f - r: %.2f - f1: %.2f' % (name, p, r, f1))
if __name__ == '__main__':
test('plus1', sents, labels)
test('embed', sents, labels)