bayespy.inference.vmp.nodes.expfamily.ExponentialFamilyDistribution

class bayespy.inference.vmp.nodes.expfamily.ExponentialFamilyDistribution

Sub-classes implement distribution specific computations.

__init__(*args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(*args, **kwargs)	Initialize self.
compute_cgf_from_parents(*u_parents)
compute_fixed_moments_and_f(x[, mask])
compute_gradient(g, u, phi)	Compute the standard gradient with respect to the natural parameters.
compute_logpdf(u, phi, g, f, ndims)	Compute E[log p(X)] given E[u], E[phi], E[g] and E[f].
compute_message_to_parent(parent, index, …)	Compute the message to a parent node.
compute_moments_and_cgf(phi[, mask])
compute_phi_from_parents(*u_parents[, mask])
compute_weights_to_parent(index, weights)	Maps the mask to the plates of a parent.
plates_from_parent(index, plates)	Resolve the plate mapping from a parent.
plates_to_parent(index, plates)	Resolves the plate mapping to a parent.
random(*params[, plates])	Draw a random sample from the distribution.
squeeze(axis)	Squeeze a plate axis from the distribution