neuralset.extractors.base.Pulse

class neuralset.extractors.base.Pulse(*, event_types: str | tuple[str, ...] = 'Event', aggregation: Literal['single', 'sum', 'mean', 'first', 'middle', 'last', 'cat', 'stack', 'trigger'] = 'single', allow_missing: bool = False, frequency: float = 0.0)

Constant-one extractor — returns a single 1.0 scalar for every event.

Useful as a bias term or baseline feature in models that expect at least one extractor per event type.