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Revert documentation link to spancat

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Lj Miranda 2022-11-02 12:43:26 +08:00
parent 8548e2c311
commit 7021dbaff3
1 changed files with 4 additions and 4 deletions
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8
spacy/pipeline/spancat_exclusive.py
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@ -130,7 +130,7 @@ class Ranges:
class Exclusive_SpanCategorizer(SpanCategorizer): class Exclusive_SpanCategorizer(SpanCategorizer):
"""Pipeline component to label non-overlapping spans of text. """Pipeline component to label non-overlapping spans of text.
DOCS: https://spacy.io/api/spancategorizerexclusive DOCS: https://spacy.io/api/spancatcategorizer
""" """
def __init__( def __init__(
@ -162,7 +162,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
Scorer.score_spans for the Doc.spans[spans_key] with overlapping Scorer.score_spans for the Doc.spans[spans_key] with overlapping
spans allowed. spans allowed.
DOCS: https://spacy.io/api/spancategorizerexclusive#init DOCS: https://spacy.io/api/spancatcategorizer#init
""" """
self.cfg = { self.cfg = {
"labels": [], "labels": [],
@ -197,7 +197,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
docs (Iterable[Doc]): The documents to modify. docs (Iterable[Doc]): The documents to modify.
scores: The scores to set, produced by SpanCategorizerExclusive.predict. scores: The scores to set, produced by SpanCategorizerExclusive.predict.
DOCS: https://spacy.io/api/spancategorizerexclusive#set_annotations DOCS: https://spacy.io/api/spancatcategorizer#set_annotations
""" """
allow_overlap = cast(bool, self.cfg["allow_overlap"]) allow_overlap = cast(bool, self.cfg["allow_overlap"])
labels = self.labels labels = self.labels
@ -224,7 +224,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
spans_scores: Scores representing the model's predictions. spans_scores: Scores representing the model's predictions.
RETURNS (Tuple[float, float]): The loss and the gradient. RETURNS (Tuple[float, float]): The loss and the gradient.
DOCS: https://spacy.io/api/spancategorizerexclusive#get_loss DOCS: https://spacy.io/api/spancatcategorizer#get_loss
""" """
spans, scores = spans_scores spans, scores = spans_scores
spans = Ragged( spans = Ragged(