gov.sandia.cognition.statistics.bayesian

Class AdaptiveRejectionSampling.PDFLogEvaluator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.math.AbstractScalarFunction<java.lang.Double>

gov.sandia.cognition.math.AbstractUnivariateScalarFunction

gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.LogEvaluator<ProbabilityFunction<java.lang.Double>>

gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.PDFLogEvaluator

All Implemented Interfaces:

Evaluator<java.lang.Double,java.lang.Double>, ScalarFunction<java.lang.Double>, UnivariateScalarFunction, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

AdaptiveRejectionSampling

public static class AdaptiveRejectionSampling.PDFLogEvaluator
extends AdaptiveRejectionSampling.LogEvaluator<ProbabilityFunction<java.lang.Double>>

Wraps a PDF so that it returns the logEvaluate method.

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.LogEvaluator

function

Constructor Summary

Constructors

Constructor and Description
PDFLogEvaluator(ProbabilityFunction<java.lang.Double> function) Creates a new instance of PDFLogEvaluator

Method Summary

Modifier and Type	Method and Description
double	evaluate(double input) Produces a double output for the given double input

Methods inherited from class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.LogEvaluator

clone, getFunction, setFunction

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.math.UnivariateScalarFunction

evaluate, evaluateAsDouble

Constructor Detail

PDFLogEvaluator

public PDFLogEvaluator(ProbabilityFunction<java.lang.Double> function)

Creates a new instance of PDFLogEvaluator

Parameters:

function - PDF to wrap

Method Detail

evaluate

public double evaluate(double input)

Description copied from interface: UnivariateScalarFunction

Produces a double output for the given double input

Specified by:

evaluate in interface UnivariateScalarFunction

Overrides:

evaluate in class AdaptiveRejectionSampling.LogEvaluator<ProbabilityFunction<java.lang.Double>>

Parameters:

input - Input to the Evaluator

Returns:

output at the given input