EnsembleEigenVector¶
- class EnsembleEigenVector(priors=None)[source]¶
Bases:
JumpProposal- __init__(priors=None)[source]¶
Ensemble step based on the ensemble eigenvectors.
- Parameters:
- priors:
See superclass
- __call__(sample, **kwargs)[source]¶
A generic wrapper for the jump proposal function
- Parameters:
- args: Arguments that are going to be passed into the proposal function
- kwargs: Keyword arguments that are going to be passed into the proposal function
- Returns:
- dict: A dictionary with the new samples. Boundary conditions are applied.
Methods
__init__([priors])Ensemble step based on the ensemble eigenvectors.
update_eigenvectors(coordinates)