spaCy/spacy/scorer.py

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from __future__ import division
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class PRFScore(object):
"""A precision / recall / F score"""
def __init__(self):
self.tp = 0
self.fp = 0
self.fn = 0
def score_set(self, cand, gold):
self.tp += len(cand.intersection(gold))
self.fp += len(cand - gold)
self.fn += len(gold - cand)
@property
def precision(self):
return self.tp / (self.tp + self.fp + 1e-100)
@property
def recall(self):
return self.tp / (self.tp + self.fn + 1e-100)
@property
def fscore(self):
p = self.precision
r = self.recall
return 2 * ((p * r) / (p + r + 1e-100))
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class Scorer(object):
def __init__(self, eval_punct=False):
self.tokens = PRFScore()
self.sbd = PRFScore()
self.unlabelled = PRFScore()
self.labelled = PRFScore()
self.tags = PRFScore()
self.ner = PRFScore()
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self.eval_punct = eval_punct
@property
def tags_acc(self):
return self.tags.fscore * 100
@property
def token_acc(self):
return self.tokens.fscore * 100
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@property
def uas(self):
return self.unlabelled.fscore * 100
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@property
def las(self):
return self.labelled.fscore * 100
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@property
def ents_p(self):
return self.ner.precision
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@property
def ents_r(self):
return self.ner.recall
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@property
def ents_f(self):
return self.ner.fscore
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def score(self, tokens, gold, verbose=False):
assert len(tokens) == len(gold)
gold_deps = set()
gold_tags = set()
gold_tags = set()
for id_, word, tag, head, dep, ner in gold.orig_annot:
if dep.lower() not in ('p', 'punct'):
gold_deps.add((id_, head, dep))
gold_tags.add((id_, tag))
cand_deps = set()
cand_tags = set()
for token in tokens:
if token.dep_ not in ('p', 'punct') and token.orth_.strip():
gold_i = gold.cand_to_gold[token.i]
gold_head = gold.cand_to_gold[token.head.i]
# None is indistinct, so we can't just add it to the set
# Multiple (None, None) deps are possible
if gold_i is None or gold_head is None:
self.unlabelled.fp += 1
self.labelled.fp += 1
else:
cand_deps.add((gold_i, gold_head, token.dep_))
if gold_i is None:
self.tags.fp += 1
else:
cand_tags.add((gold_i, token.tag_))
self.tags.score_set(cand_tags, cand_deps)
self.labelled.score_set(cand_deps, gold_deps)
self.unlabelled.score_set(
set(item[:2] for item in cand_deps),
set(item[:2] for item in gold_deps),
)