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Remove debugging

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This commit is contained in:
Adriane Boyd 2023-06-05 12:46:01 +02:00
parent dac12fb684
commit d52d7d9c87
1 changed files with 10 additions and 8 deletions
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18
spacy/pipeline/span_finder.py
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@ -138,18 +138,21 @@ class SpanFinder(TrainablePipe):
min_length: Optional[int] = None,
scorer: Optional[Callable] = span_finder_score,
) -> None:
"""Initialize the span boundary detector.
model (thinc.api.Model): The Thinc Model powering the pipeline component.
"""Initialize the span finder.
model (thinc.api.Model): The Thinc Model powering the pipeline
component.
name (str): The component instance name, used to add entries to the
losses during training.
threshold (float): Minimum probability to consider a prediction
positive.
scorer (Optional[Callable]): The scoring method.
spans_key (str): Key of the doc.spans dict to save the spans under. During
initialization and training, the component will look for spans on the
reference document under the same key.
max_length (Optional[int]): Max length of the produced spans, defaults to None meaning unlimited length.
min_length (Optional[int]): Min length of the produced spans, defaults to None meaning shortest span is length 1.
spans_key (str): Key of the doc.spans dict to save the spans under.
During initialization and training, the component will look for
spans on the reference document under the same key.
max_length (Optional[int]): Maximum length of the produced spans,
defaults to None meaning unlimited length.
min_length (Optional[int]): Minimum length of the produced spans,
defaults to None meaning shortest span length is 1.
"""
self.vocab = nlp.vocab
if (max_length is not None and max_length < 1) or (
@ -194,7 +197,6 @@ class SpanFinder(TrainablePipe):
if token_score[1] >= self.cfg["threshold"]:
ends.append(token.i)
print(self.cfg)
for start in starts:
for end in ends:
span_length = end + 1 - start