io.improbable.keanu.backend.keanu.compiled

Class KeanuCompiledProbabilisticGraph

java.lang.Object

io.improbable.keanu.backend.keanu.compiled.KeanuCompiledProbabilisticGraph

All Implemented Interfaces:

ProbabilisticModel, java.lang.AutoCloseable

public class KeanuCompiledProbabilisticGraph
extends java.lang.Object
implements ProbabilisticModel

Constructor Summary

Constructors

Constructor and Description
KeanuCompiledProbabilisticGraph()

Method Summary

Modifier and Type	Method and Description
static KeanuCompiledProbabilisticGraph	convert(BayesianNetwork network) Takes a BayesianNetwork and converts it to a KeanuCompiledProbabilisticGraph.
double	logLikelihood(java.util.Map<VariableReference,?> inputs)
double	logProb(java.util.Map<VariableReference,?> inputs)

Methods inherited from class java.lang.Object

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

Methods inherited from interface io.improbable.keanu.algorithms.ProbabilisticModel

close, getContinuousLatentVariables, getLatentVariables, logLikelihood, logProb, logProbAfter

Constructor Detail

KeanuCompiledProbabilisticGraph

public KeanuCompiledProbabilisticGraph()

Method Detail

convert

public static KeanuCompiledProbabilisticGraph convert(BayesianNetwork network)

Takes a BayesianNetwork and converts it to a KeanuCompiledProbabilisticGraph. This compiles the graph in the bayesian network and then compiles the logProb graph.

Parameters:

network - The bayesian network for conversions

Returns:

A compiled ProbabilisticGraph that represents the BayesianNetwork

logProb

public double logProb(java.util.Map<VariableReference,?> inputs)

Specified by:

logProb in interface ProbabilisticModel

logLikelihood

public double logLikelihood(java.util.Map<VariableReference,?> inputs)

Specified by:

logLikelihood in interface ProbabilisticModel