spaCy/spacy/scorer.py

75 lines
2.6 KiB
Python

from __future__ import division
class Scorer(object):
def __init__(self, eval_punct=False):
self.heads_corr = 0
self.labels_corr = 0
self.tags_corr = 0
self.ents_tp = 0
self.ents_fp = 0
self.ents_fn = 0
self.total = 1e-100
self.mistokened = 0
self.n_tokens = 0
self.eval_punct = eval_punct
@property
def tags_acc(self):
return ((self.tags_corr - self.mistokened) / (self.n_tokens - self.mistokened)) * 100
@property
def uas(self):
return (self.heads_corr / self.total) * 100
@property
def las(self):
return (self.labels_corr / self.total) * 100
@property
def ents_p(self):
return (self.ents_tp / (self.ents_tp + self.ents_fp + 1e-100)) * 100
@property
def ents_r(self):
return (self.ents_tp / (self.ents_tp + self.ents_fn + 1e-100)) * 100
@property
def ents_f(self):
return (2 * self.ents_p * self.ents_r) / (self.ents_p + self.ents_r + 1e-100)
def score(self, tokens, gold, verbose=False):
assert len(tokens) == len(gold)
for i, token in enumerate(tokens):
if gold.orths.get(token.idx) != token.orth_:
self.mistokened += 1
if not self.skip_token(i, token, gold):
self.total += 1
if verbose:
print token.orth_, token.dep_, token.head.orth_, token.head.i == gold.heads[i]
if token.head.i == gold.heads[i]:
self.heads_corr += 1
self.labels_corr += token.dep_ == gold.labels[i]
self.tags_corr += token.tag_ == gold.tags[i]
self.n_tokens += 1
gold_ents = set((start, end, label) for (start, end, label) in gold.ents)
guess_ents = set((e.start, e.end, e.label_) for e in tokens.ents)
if verbose and gold_ents:
for start, end, label in guess_ents:
mark = 'T' if (start, end, label) in gold_ents else 'F'
ent_str = ' '.join(tokens[i].orth_ for i in range(start, end))
print mark, label, ent_str
for start, end, label in gold_ents:
if (start, end, label) not in guess_ents:
ent_str = ' '.join(tokens[i].orth_ for i in range(start, end))
print 'M', label, ent_str
print
if gold_ents:
self.ents_tp += len(gold_ents.intersection(guess_ents))
self.ents_fn += len(gold_ents - guess_ents)
self.ents_fp += len(guess_ents - gold_ents)
def skip_token(self, i, token, gold):
return gold.labels[i] in ('P', 'punct')