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

Sub-classes implement distribution specific computations.





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 a plate axis from the distribution