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Revert documentation link to spancat
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@ -130,7 +130,7 @@ class Ranges:
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class Exclusive_SpanCategorizer(SpanCategorizer):
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"""Pipeline component to label non-overlapping spans of text.
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DOCS: https://spacy.io/api/spancategorizerexclusive
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DOCS: https://spacy.io/api/spancatcategorizer
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"""
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def __init__(
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@ -162,7 +162,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
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Scorer.score_spans for the Doc.spans[spans_key] with overlapping
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spans allowed.
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DOCS: https://spacy.io/api/spancategorizerexclusive#init
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DOCS: https://spacy.io/api/spancatcategorizer#init
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"""
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self.cfg = {
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"labels": [],
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@ -197,7 +197,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
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docs (Iterable[Doc]): The documents to modify.
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scores: The scores to set, produced by SpanCategorizerExclusive.predict.
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DOCS: https://spacy.io/api/spancategorizerexclusive#set_annotations
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DOCS: https://spacy.io/api/spancatcategorizer#set_annotations
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"""
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allow_overlap = cast(bool, self.cfg["allow_overlap"])
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labels = self.labels
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@ -224,7 +224,7 @@ class Exclusive_SpanCategorizer(SpanCategorizer):
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spans_scores: Scores representing the model's predictions.
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RETURNS (Tuple[float, float]): The loss and the gradient.
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DOCS: https://spacy.io/api/spancategorizerexclusive#get_loss
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DOCS: https://spacy.io/api/spancatcategorizer#get_loss
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"""
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spans, scores = spans_scores
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spans = Ragged(
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