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edsnlp.pipelines.qualifiers.history.factory

DEFAULT_CONFIG = dict(attr='NORM', history=patterns.history, termination=termination, use_sections=False, use_dates=False, history_limit=14, exclude_birthdate=True, closest_dates_only=True, explain=False, on_ents_only=True) module-attribute

create_component(nlp, name, history, termination, use_sections, use_dates, history_limit, exclude_birthdate, closest_dates_only, attr, explain, on_ents_only)

Source code in edsnlp/pipelines/qualifiers/history/factory.py 
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@deprecated_factory(
    "antecedents",
    "eds.history",
    default_config=DEFAULT_CONFIG,
    assigns=["span._.history"],
)
@deprecated_factory(
    "eds.antecedents",
    "eds.history",
    default_config=DEFAULT_CONFIG,
    assigns=["span._.history"],
)
@deprecated_factory(
    "history",
    "eds.history",
    default_config=DEFAULT_CONFIG,
    assigns=["span._.history"],
)
@Language.factory(
    "eds.history",
    default_config=DEFAULT_CONFIG,
    assigns=["span._.history"],
)
def create_component(
    nlp: Language,
    name: str,
    history: Optional[List[str]],
    termination: Optional[List[str]],
    use_sections: bool,
    use_dates: bool,
    history_limit: int,
    exclude_birthdate: bool,
    closest_dates_only: bool,
    attr: str,
    explain: bool,
    on_ents_only: bool,
):
    return History(
        nlp,
        attr=attr,
        history=history,
        termination=termination,
        use_sections=use_sections,
        use_dates=use_dates,
        history_limit=history_limit,
        exclude_birthdate=exclude_birthdate,
        closest_dates_only=closest_dates_only,
        explain=explain,
        on_ents_only=on_ents_only,
    )