io.improbable.keanu.algorithms.variational

Class FitnessFunction

java.lang.Object

io.improbable.keanu.algorithms.variational.FitnessFunction

public class FitnessFunction
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
FitnessFunction(java.util.List<Vertex> probabilisticVertices, java.util.List<? extends Vertex<DoubleTensor>> latentVertices)
FitnessFunction(java.util.List<Vertex> probabilisticVertices, java.util.List<? extends Vertex<DoubleTensor>> latentVertices, java.util.function.BiConsumer<double[],java.lang.Double> onFitnessCalculation)

Method Summary

Modifier and Type	Method and Description
org.apache.commons.math3.analysis.MultivariateFunction	fitness()
static boolean	isValidInitialFitness(double fitnessValue)
static double	logOfTotalProbability(java.util.List<? extends Vertex> probabilisticVertices)

Methods inherited from class java.lang.Object

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

Constructor Detail

FitnessFunction

public FitnessFunction(java.util.List<Vertex> probabilisticVertices,
                       java.util.List<? extends Vertex<DoubleTensor>> latentVertices,
                       java.util.function.BiConsumer<double[],java.lang.Double> onFitnessCalculation)

FitnessFunction

public FitnessFunction(java.util.List<Vertex> probabilisticVertices,
                       java.util.List<? extends Vertex<DoubleTensor>> latentVertices)

Method Detail

fitness

public org.apache.commons.math3.analysis.MultivariateFunction fitness()

logOfTotalProbability

public static double logOfTotalProbability(java.util.List<? extends Vertex> probabilisticVertices)

isValidInitialFitness

public static boolean isValidInitialFitness(double fitnessValue)