LMAEstimatorOptions

class giant.calibration.estimators.geometric.lma.LMAEstimatorOptions(weighted_estimation: bool = False, a_priori_model_covariance: numpy.ndarray[tuple[Any, ...], numpy.dtype[numpy.float64]] | None = None, max_iter: int = 20, residual_atol: float = 1e-10, residual_rtol: float = 1e-10, state_atol: float = 1e-10, state_rtol: float = 1e-10, max_divergence_steps: int = 5)

Parameters:

• weighted_estimation (bool)

• a_priori_model_covariance (ndarray[tuple[Any, ...], dtype[float64]] | None)

• max_iter (int)

• residual_atol (float)

• residual_rtol (float)

• state_atol (float)

• state_rtol (float)

• max_divergence_steps (int)