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edsnlp.pipelines.ner.scores.sofa.factory

DEFAULT_CONFIG = dict(regex=patterns.regex, value_extract=patterns.value_extract, score_normalization=patterns.score_normalization_str, attr='NORM', window=10, ignore_excluded=False, flags=0) module-attribute

create_component(nlp, name, regex, value_extract, score_normalization, attr, window, ignore_excluded, flags)

Source code in edsnlp/pipelines/ner/scores/sofa/factory.py 
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@deprecated_factory(
    "SOFA",
    "eds.SOFA",
    default_config=DEFAULT_CONFIG,
    assigns=["doc.ents", "doc.spans"],
)
@Language.factory(
    "eds.SOFA",
    default_config=DEFAULT_CONFIG,
    assigns=["doc.ents", "doc.spans"],
)
def create_component(
    nlp: Language,
    name: str,
    regex: List[str],
    value_extract: List[Dict[str, str]],
    score_normalization: Union[str, Callable[[Union[str, None]], Any]],
    attr: str,
    window: int,
    ignore_excluded: bool,
    flags: Union[re.RegexFlag, int],
):
    return Sofa(
        nlp,
        score_name=name,
        regex=regex,
        value_extract=value_extract,
        score_normalization=score_normalization,
        attr=attr,
        window=window,
        ignore_excluded=ignore_excluded,
        flags=flags,
    )