io.improbable.keanu.algorithms.variational.optimizer.gradient

Class LogLikelihoodFitnessFunctionGradient

java.lang.Object

io.improbable.keanu.algorithms.variational.optimizer.gradient.ProbabilityFitnessFunctionGradient

io.improbable.keanu.algorithms.variational.optimizer.gradient.LogLikelihoodFitnessFunctionGradient

All Implemented Interfaces:

FitnessFunctionGradient

public class LogLikelihoodFitnessFunctionGradient
extends ProbabilityFitnessFunctionGradient

Constructor Summary

Constructors

Constructor and Description
LogLikelihoodFitnessFunctionGradient(ProbabilisticModelWithGradient probabilisticModelWithGradient)
LogLikelihoodFitnessFunctionGradient(ProbabilisticModelWithGradient probabilisticModelWithGradient, java.util.function.BiConsumer<java.util.Map<VariableReference,DoubleTensor>,java.util.Map<? extends VariableReference,DoubleTensor>> onGradientCalculation)

Method Summary

Methods inherited from class io.improbable.keanu.algorithms.variational.optimizer.gradient.ProbabilityFitnessFunctionGradient

getGradientsAt

Methods inherited from class java.lang.Object

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

Constructor Detail

LogLikelihoodFitnessFunctionGradient

public LogLikelihoodFitnessFunctionGradient(ProbabilisticModelWithGradient probabilisticModelWithGradient,
                                            java.util.function.BiConsumer<java.util.Map<VariableReference,DoubleTensor>,java.util.Map<? extends VariableReference,DoubleTensor>> onGradientCalculation)

LogLikelihoodFitnessFunctionGradient

public LogLikelihoodFitnessFunctionGradient(ProbabilisticModelWithGradient probabilisticModelWithGradient)