bayespy.inference.vmp.nodes.stochastic.Stochastic¶
-
class
bayespy.inference.vmp.nodes.stochastic.
Stochastic
(*args, initialize=True, dims=None, **kwargs)[source]¶ Base class for nodes that are stochastic.
u observed
- Sub-classes must implement:
- _compute_message_to_parent(parent, index, u_self, *u_parents) _update_distribution_and_lowerbound(self, m, *u) lowerbound(self) _compute_dims initialize_from_prior()
- If you want to be able to observe the variable:
- _compute_fixed_moments_and_f
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)-
__init__
(*args, initialize=True, dims=None, **kwargs)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
(*args[, initialize, dims])Initialize self. add_plate_axis
(to_plate)broadcasting_multiplier
(*args)delete
()Delete this node and the children get_mask
()get_moments
()get_pdf_nodes
()get_shape
(ind)has_plotter
()Return True if the node has a plotter load
(filename)lowerbound
()move_plates
(from_plate, to_plate)observe
(x[, mask])Fix moments, compute f and propagate mask. plot
([fig])Plot the node distribution using the plotter of the node random
()Draw a random sample from the distribution. save
(filename)set_plotter
(plotter)show
()Print the distribution using standard parameterization. unobserve
()update
([annealing])Attributes
plates
plates_multiplier
Plate multiplier is applied to messages to parents