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Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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Lj Miranda 2023-01-17 09:38:47 +08:00 committed by GitHub
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spacy/pipeline/spancat_exclusive.py
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@ -63,7 +63,7 @@ def make_spancat(
negative_weight: float = 1.0,
allow_overlap: bool = True,
) -> "Exclusive_SpanCategorizer":
"""Create a SpanCategorizerExclusive component. The span categorizer consists of two
"""Create an Exclusive_SpanCategorizer component. The span categorizer consists of two
parts: a suggester function that proposes candidate spans, and a labeler
model that predicts a maximum of one label for each span.
@ -136,7 +136,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
allow_overlap: bool = True,
scorer: Optional[Callable] = spancat_score,
) -> None:
"""Initialize the span categorizer.
"""Initialize the exclusive span categorizer.
vocab (Vocab): The shared vocabulary.
model (thinc.api.Model): The Thinc Model powering the pipeline component.
name (str): The component instance name, used to add entries to the
@ -147,8 +147,9 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
`"spans"`.
negative_weight (float): Multiplier for the loss terms.
Can be used to down weigh the negative samples if there are too many.
Defaults to 1.0.
allow_overlap (bool): If True the data is assumed to
contain overlapping spans.
contain overlapping spans. Defaults to `True`.
scorer (Optional[Callable]): The scoring method. Defaults to
Scorer.score_spans for the Doc.spans[spans_key] with overlapping
spans allowed.
@ -186,7 +187,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
"""Modify a batch of Doc objects, using pre-computed scores.
docs (Iterable[Doc]): The documents to modify.
scores: The scores to set, produced by SpanCategorizerExclusive.predict.
indices_scores: The scores to set, produced by Exclusive_SpanCategorizer.predict.
DOCS: https://spacy.io/api/spancatcategorizer#set_annotations
"""