spacy_detector#

scikitplot.cleanprompt.spacy_detector(model=None, labels=frozenset({'EVENT', 'FAC', 'GPE', 'LANGUAGE', 'LAW', 'LOC', 'NORP', 'ORG', 'PERSON', 'PRODUCT', 'WORK_OF_ART'}), language='en', size='sm', **kwargs)[source]#

Build a NerDetector.

Parameters:

modelstr, default=’en_core_web_lg’: Name of an installed spaCy model.
labelsiterable of str, optional: Entity labels to redact.
**kwargs: Forwarded to NerDetector.

Returns:

NerDetector: The detector. Construction does not import spaCy or load the model; both happen on the first NerDetector.detect call.

Parameters:

model (str | None)
labels (Iterable[str] | None)
language (str)
size (str)
kwargs (Any)

Return type:

NerDetector

Examples

>>> detector = spacy_detector()
>>> detector.name
'ner:en_core_web_lg'