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* Report LAS in train script

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Matthew Honnibal 2015-03-03 04:35:11 -05:00
parent b07632a9ef
commit 053814ffc8
1 changed files with 7 additions and 3 deletions
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bin/parser/train.py
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@ -226,7 +226,8 @@ def train(Language, paragraphs, model_dir, n_iter=15, feat_set=u'basic', seed=0,
def evaluate(Language, dev_loc, model_dir, gold_preproc=False):
global loss
nlp = Language()
n_corr = 0
uas_corr = 0
las_corr = 0
pos_corr = 0
n_tokens = 0
total = 0
@ -251,11 +252,14 @@ def evaluate(Language, dev_loc, model_dir, gold_preproc=False):
continue
if is_punct_label(labels[i]):
continue
n_corr += token.head.i == heads[i]
uas_corr += token.head.i == heads[i]
las_corr += token.head.i == heads[i] and token.dep_ == labels[i]
#print token.orth_, token.head.orth_, token.dep_, labels[i]
total += 1
print loss, skipped, (loss+skipped + total)
print pos_corr / n_tokens
return float(n_corr) / (total + loss)
print float(las_corr) / (total + loss)
return float(uas_corr) / (total + loss)
def main(train_loc, dev_loc, model_dir):