class bayespy.inference.vmp.nodes.expfamily.ExponentialFamilyDistribution[source]

Sub-classes implement distribution specific computations.

__init__($self, /, *args, **kwargs)

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


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_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.