bayespy.inference.vmp.nodes.expfamily.ExponentialFamily¶
-
class
bayespy.inference.vmp.nodes.expfamily.
ExponentialFamily
(*args, **kwargs)[source]¶ A base class for nodes using natural parameterization phi.
phi
- Sub-classes must implement the following static methods:
- _compute_message_to_parent(index, u_self, *u_parents) _compute_phi_from_parents(*u_parents, mask) _compute_moments_and_cgf(phi, mask) _compute_fixed_moments_and_f(x, mask=True)
Sub-classes may need to re-implement: 1. If they manipulate plates:
_compute_weights_to_parent(index, weights) _compute_plates_to_parent(self, index, plates) _compute_plates_from_parent(self, index, plates)Methods
__init__
(*args, **kwargs)add_plate_axis
(to_plate)broadcasting_multiplier
(*args)delete
()Delete this node and the children get_gradient
(rg)Computes gradient with respect to the natural parameters. get_mask
()get_moments
()get_parameters
()Return parameters of the VB distribution. get_pdf_nodes
()get_riemannian_gradient
()Computes the Riemannian/natural gradient. get_shape
(ind)has_plotter
()Return True if the node has a plotter initialize_from_parameters
(*args)initialize_from_prior
()initialize_from_random
()Set the variable to a random sample from the current distribution. initialize_from_value
(x, *args)load
(filename)logpdf
(X[, mask])Compute the log probability density function Q(X) of this node. lower_bound_contribution
([gradient, …])Compute E[ log p(X|parents) - log q(X) ] lowerbound
()move_plates
(from_plate, to_plate)observe
(x, *args[, mask])Fix moments, compute f and propagate mask. pdf
(X[, mask])Compute the probability density function of this node. plot
([fig])Plot the node distribution using the plotter of the node random
()Draw a random sample from the distribution. save
(filename)set_parameters
(x)Set the parameters of the VB distribution. set_plotter
(plotter)show
()Print the distribution using standard parameterization. unobserve
()update
([annealing])Attributes
dims
plates
plates_multiplier
Plate multiplier is applied to messages to parents