def posterior_bayes_information(self, expparams):
        """
        Evaluates the local Bayesian Information Matrix (BIM) over all particles
        of the current posterior distribution with corresponding weights.

        :param expparams: Parameters describing the experiment that was
            performed.
        :type expparams: :class:`~numpy.ndarray` of dtype given by the
            :attr:`~qinfer.abstract_model.Model.expparams_dtype` property
            of the underlying model

        """
        return self._bim(
            self.particle_locations, expparams,
            modelweights=self.particle_weights
        )
def posterior_bayes_information ( self , expparams ) : return self . _bim ( self . particle_locations , expparams , modelweights = self . particle_weights )
Evaluates the local Bayesian Information Matrix (BIM) over all particles
        of the current posterior distribution with corresponding weights.

        :param expparams: Parameters describing the experiment that was
            performed.
        :type expparams: :class:`~numpy.ndarray` of dtype given by the
            :attr:`~qinfer.abstract_model.Model.expparams_dtype` property
            of the underlying model