io.improbable.keanu.algorithms

Interface ProbabilisticModel

All Known Subinterfaces:

ProbabilisticModelWithGradient

All Known Implementing Classes:

KeanuProbabilisticModel, KeanuProbabilisticModelWithGradient

public interface ProbabilisticModel

A model composed of Variables that can return a value of log-probability for a given set of input values.

Method Summary

Modifier and Type	Method and Description
java.util.List<Variable<DoubleTensor,?>>	getContinuousLatentVariables()
java.util.List<Variable>	getLatentVariables()
default double	logLikelihood()
double	logLikelihood(java.util.Map<VariableReference,?> inputs)
default double	logProb()
double	logProb(java.util.Map<VariableReference,?> inputs)
double	logProbAfter(java.util.Map<VariableReference,java.lang.Object> newValues, double logProbBefore)

Method Detail

logProb

default double logProb()

logProb

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

logProbAfter

double logProbAfter(java.util.Map<VariableReference,java.lang.Object> newValues,
                    double logProbBefore)

logLikelihood

default double logLikelihood()

logLikelihood

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

getLatentVariables

java.util.List<Variable> getLatentVariables()

getContinuousLatentVariables

java.util.List<Variable<DoubleTensor,?>> getContinuousLatentVariables()