bayespy.nodes.Dirichlet¶

class bayespy.nodes.Dirichlet(*args, **kwargs)[source]

Node for Dirichlet random variables.

The node models a set of probabilities which satisfy and .

where are concentration parameters.

The posterior approximation has the same functional form but with different concentration parameters.

Parameters
alpha(…,K)-shaped array

Prior counts

__init__(*args, **kwargs)

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

Methods

 __init__(*args, **kwargs) Initialize self. add_plate_axis(to_plate) broadcasting_multiplier(plates, *args) Delete this node and the children Computes gradient with respect to the natural parameters. Return parameters of the VB distribution. Computes the Riemannian/natural gradient. get_shape(ind) Return True if the node has a plotter 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) ] 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 Draw a random sample from the distribution. save(filename) Set the parameters of the VB distribution. set_plotter(plotter) Print the distribution using standard parameterization. update([annealing])

Attributes

 dims plates plates_multiplier Plate multiplier is applied to messages to parents