io.improbable.keanu.algorithms.sampling

Class Prior

java.lang.Object

io.improbable.keanu.algorithms.sampling.Prior

public class Prior
extends java.lang.Object

Method Summary

Modifier and Type	Method and Description
static NetworkSamples	sample(BayesianNetwork bayesNet, java.util.List<? extends Vertex> fromVertices, int sampleCount) Samples from a Bayesian Network that only contains prior information.
static NetworkSamples	sample(BayesianNetwork bayesNet, java.util.List<? extends Vertex> fromVertices, int sampleCount, KeanuRandom random)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

sample

public static NetworkSamples sample(BayesianNetwork bayesNet,
                                    java.util.List<? extends Vertex> fromVertices,
                                    int sampleCount)

Samples from a Bayesian Network that only contains prior information. No observations can have been made. Samples are taken by calculating a linear ordering of the network and cascading the sampled values through the network in priority order.

Parameters:

bayesNet - the prior bayesian network to sample from

fromVertices - the vertices to sample from

sampleCount - the number of samples to take

Returns:

prior samples of a bayesian network

sample

public static NetworkSamples sample(BayesianNetwork bayesNet,
                                    java.util.List<? extends Vertex> fromVertices,
                                    int sampleCount,
                                    KeanuRandom random)