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

java.lang.Object
  gov.sandia.cognition.util.AbstractCloneableSerializable
      gov.sandia.cognition.math.AbstractScalarFunction<Double>
          gov.sandia.cognition.math.AbstractUnivariateScalarFunction
              gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.LogEvaluator<ProbabilityFunction<Double>>
                  gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.PDFLogEvaluator

All Implemented Interfaces:

Evaluator<Double,Double>, ScalarFunction<Double>, UnivariateScalarFunction, CloneableSerializable, Serializable, Cloneable

Enclosing class:

AdaptiveRejectionSampling

public static class AdaptiveRejectionSampling.PDFLogEvaluator
extends AdaptiveRejectionSampling.LogEvaluator<ProbabilityFunction<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

AdaptiveRejectionSampling.PDFLogEvaluator(ProbabilityFunction<Double> function)
Creates a new instance of PDFLogEvaluator

Method Summary

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 gov.sandia.cognition.math.AbstractUnivariateScalarFunction

evaluate, evaluateAsDouble

Methods inherited from class java.lang.Object

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

Constructor Detail

AdaptiveRejectionSampling.PDFLogEvaluator

public AdaptiveRejectionSampling.PDFLogEvaluator(ProbabilityFunction<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<Double>>

Parameters:

input - Input to the Evaluator

Returns:

output at the given input