type

states.EnsembleInitializer

class EnsembleInitializer:

:class:`~unitrack.states.Initializer` spawning an ensemble around a measurement.

Members are ``z + init_std * noise`` with the noise drawn once from a fixed-seed generator and mean-centred so the ensemble mean equals ``z`` exactly. Only this spawn is randomised; predict and update are deterministic.

Parameters

Name	Type	Description
field	str	Detection field supplying the measurement.
ensemble_size	int	Number of members ``E``.
dim	int	Embedding dimensionality ``D``.
init_std	float	Standard deviation of the initial ensemble spread.
seed	int	Seed for the spawn generator.

Members

method

__call__Return ``(N, E, D)`` ensemble members centred on the measurement.
__init__

property

dim
ensemble_size
field
init_std
seed

Source: unitrack/states/kalman/ensemble.py:168