io.improbable.keanu.algorithms.variational.optimizer.nongradient

Class ProbabilityFitnessFunction

java.lang.Object

io.improbable.keanu.algorithms.variational.optimizer.nongradient.ProbabilityFitnessFunction

All Implemented Interfaces:

FitnessFunction

Direct Known Subclasses:

LogLikelihoodFitnessFunction, LogProbFitnessFunction

public abstract class ProbabilityFitnessFunction
extends java.lang.Object
implements FitnessFunction

Constructor Summary

Constructors

Constructor and Description
ProbabilityFitnessFunction(ProbabilisticModel probabilisticModel)

Method Summary

Modifier and Type	Method and Description
double	getFitnessAt(java.util.Map<VariableReference,DoubleTensor> values)

Methods inherited from class java.lang.Object

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

Constructor Detail

ProbabilityFitnessFunction

public ProbabilityFitnessFunction(ProbabilisticModel probabilisticModel)

Method Detail

getFitnessAt

public double getFitnessAt(java.util.Map<VariableReference,DoubleTensor> values)

Specified by:

getFitnessAt in interface FitnessFunction

Parameters:

values - the values for each variable in the function

Returns:

the fitness at the values specified