io.improbable.keanu.algorithms.variational

Interface Optimizer

All Known Implementing Classes:

GradientOptimizer, NonGradientOptimizer

public interface Optimizer

Method Summary

Modifier and Type	Method and Description
static double[]	currentPoint(java.util.List<? extends Vertex<? extends NumberTensor>> continuousLatentVertices)
BayesianNetwork	getBayesianNetwork()
double	maxAPosteriori()
double	maxLikelihood()
static Optimizer	of(BayesianNetwork network)
static Optimizer	of(java.util.Collection<? extends Vertex> vertices)
void	onFitnessCalculation(java.util.function.BiConsumer<double[],java.lang.Double> fitnessCalculationHandler)
static long	totalNumberOfLatentDimensions(java.util.List<? extends Vertex<? extends NumberTensor>> continuousLatentVertices)

Method Detail

onFitnessCalculation

void onFitnessCalculation(java.util.function.BiConsumer<double[],java.lang.Double> fitnessCalculationHandler)

maxAPosteriori

double maxAPosteriori()

maxLikelihood

double maxLikelihood()

getBayesianNetwork

BayesianNetwork getBayesianNetwork()

of

static Optimizer of(BayesianNetwork network)

of

static Optimizer of(java.util.Collection<? extends Vertex> vertices)

currentPoint

static double[] currentPoint(java.util.List<? extends Vertex<? extends NumberTensor>> continuousLatentVertices)

totalNumberOfLatentDimensions

static long totalNumberOfLatentDimensions(java.util.List<? extends Vertex<? extends NumberTensor>> continuousLatentVertices)