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spacy/pipeline/textcat.py
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@ -155,7 +155,11 @@ class TextCategorizer(TrainablePipe):
self.model = model
self.name = name
self._rehearsal_model = None
cfg: Dict[str, Any] = {"labels": [], "threshold": threshold, "positive_label": None}
cfg: Dict[str, Any] = {
"labels": [],
"threshold": threshold,
"positive_label": None,
}
self.cfg = dict(cfg)
self.scorer = scorer