pylupnt.Measurement

class pylupnt.Measurement

Polymorphic base for a measurement model. Subclass in Python and implement compute(self, x) -> (z, H = dh/dx, R) to both generate and predict observations.

evaluate(self: pylupnt._pylupnt.Measurement, x: Annotated[numpy.typing.ArrayLike, numpy.float64, '[m, 1]']) → tuple[Annotated[numpy.typing.NDArray[numpy.float64], '[m, 1]'], Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]'], Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]']]

Evaluate the measurement model at state x (numpy [r; v; …]); returns (z, H = dh/dx, R). Dispatches to a Python subclass’s compute(self, x).