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kadarakos 2023-04-17 14:17:54 +00:00
parent 58f1aa29a0
commit 1796cf3b2b
1 changed files with 8 additions and 8 deletions
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16
spacy/pipeline/span_finder.py
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@ -11,7 +11,7 @@ from spacy.tokens import Doc
from spacy.training import Example from spacy.training import Example
from ..util import registry from ..util import registry
from .spancat import DEFAULT_SPAN_KEY, Suggester from .spancat import DEFAULT_SPANS_KEY, Suggester
span_finder_default_config = """ span_finder_default_config = """
[model] [model]
@ -50,14 +50,14 @@ DEFAULT_PREDICTED_KEY = "span_candidates"
"threshold": 0.5, "threshold": 0.5,
"model": DEFAULT_SPAN_FINDER_MODEL, "model": DEFAULT_SPAN_FINDER_MODEL,
"predicted_key": DEFAULT_PREDICTED_KEY, "predicted_key": DEFAULT_PREDICTED_KEY,
"training_key": DEFAULT_SPAN_KEY, "training_key": DEFAULT_SPANS_KEY,
# XXX Doesn't 0 seem bad compared to None instead? # XXX Doesn't 0 seem bad compared to None instead?
"max_length": 0, "max_length": 0,
"min_length": 0, "min_length": 0,
"scorer": { "scorer": {
"@scorers": "spacy.span_finder_scorer.v1", "@scorers": "spacy.span_finder_scorer.v1",
"predicted_key": DEFAULT_PREDICTED_KEY, "predicted_key": DEFAULT_PREDICTED_KEY,
"training_key": DEFAULT_SPAN_KEY, "training_key": DEFAULT_SPANS_KEY,
}, },
}, },
default_score_weights={ default_score_weights={
@ -75,7 +75,7 @@ def make_span_finder(
max_length: int, max_length: int,
min_length: int, min_length: int,
predicted_key: str = DEFAULT_PREDICTED_KEY, predicted_key: str = DEFAULT_PREDICTED_KEY,
training_key: str = DEFAULT_SPAN_KEY, training_key: str = DEFAULT_SPANS_KEY,
) -> "SpanFinder": ) -> "SpanFinder":
"""Create a SpanFinder component. The component predicts whether a token is """Create a SpanFinder component. The component predicts whether a token is
the start or the end of a potential span. the start or the end of a potential span.
@ -108,7 +108,7 @@ def make_span_finder(
@registry.scorers("spacy.span_finder_scorer.v1") @registry.scorers("spacy.span_finder_scorer.v1")
def make_span_finder_scorer( def make_span_finder_scorer(
predicted_key: str = DEFAULT_PREDICTED_KEY, predicted_key: str = DEFAULT_PREDICTED_KEY,
training_key: str = DEFAULT_SPAN_KEY, training_key: str = DEFAULT_SPANS_KEY,
): ):
return partial( return partial(
span_finder_score, predicted_key=predicted_key, training_key=training_key span_finder_score, predicted_key=predicted_key, training_key=training_key
@ -119,7 +119,7 @@ def span_finder_score(
examples: Iterable[Example], examples: Iterable[Example],
*, *,
predicted_key: str = DEFAULT_PREDICTED_KEY, predicted_key: str = DEFAULT_PREDICTED_KEY,
training_key: str = DEFAULT_SPAN_KEY, training_key: str = DEFAULT_SPANS_KEY,
**kwargs, **kwargs,
) -> Dict[str, Any]: ) -> Dict[str, Any]:
kwargs = dict(kwargs) kwargs = dict(kwargs)
@ -163,10 +163,10 @@ class SpanFinder(TrainablePipe):
scorer: Optional[Callable] = partial( scorer: Optional[Callable] = partial(
span_finder_score, span_finder_score,
predicted_key=DEFAULT_PREDICTED_KEY, predicted_key=DEFAULT_PREDICTED_KEY,
training_key=DEFAULT_SPAN_KEY, training_key=DEFAULT_SPANS_KEY,
), ),
predicted_key: str = DEFAULT_PREDICTED_KEY, predicted_key: str = DEFAULT_PREDICTED_KEY,
training_key: str = DEFAULT_SPAN_KEY, training_key: str = DEFAULT_SPANS_KEY,
) -> None: ) -> None:
"""Initialize the span boundary detector. """Initialize the span boundary detector.
model (thinc.api.Model): The Thinc Model powering the pipeline component. model (thinc.api.Model): The Thinc Model powering the pipeline component.