gov.sandia.cognition.statistics.distribution

Class DeterministicDistribution.PMF

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.AbstractDistribution<NumberType>

gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution<java.lang.Double>

gov.sandia.cognition.statistics.distribution.DeterministicDistribution

gov.sandia.cognition.statistics.distribution.DeterministicDistribution.PMF

All Implemented Interfaces:

Evaluator<java.lang.Double,java.lang.Double>, Vectorizable, ClosedFormComputableDistribution<java.lang.Double>, ClosedFormDiscreteUnivariateDistribution<java.lang.Double>, ClosedFormDistribution<java.lang.Double>, ClosedFormUnivariateDistribution<java.lang.Double>, ComputableDistribution<java.lang.Double>, DiscreteDistribution<java.lang.Double>, Distribution<java.lang.Double>, DistributionWithMean<java.lang.Double>, ProbabilityFunction<java.lang.Double>, ProbabilityMassFunction<java.lang.Double>, UnivariateDistribution<java.lang.Double>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

DeterministicDistribution

public static class DeterministicDistribution.PMF
extends DeterministicDistribution
implements ProbabilityMassFunction<java.lang.Double>

PMF of the deterministic distribution.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.DeterministicDistribution

DeterministicDistribution.CDF, DeterministicDistribution.PMF

Field Summary

Fields inherited from class gov.sandia.cognition.statistics.distribution.DeterministicDistribution

DEFAULT_POINT

Constructor Summary

Constructors

Constructor and Description
PMF() Creates a new instance of DeterministicDistribution
PMF(DeterministicDistribution other) Copy Constructor
PMF(double point) Creates a new instance of DeterministicDistribution

Method Summary

Modifier and Type	Method and Description
java.lang.Double	evaluate(java.lang.Double input) Evaluates the function on the given input and returns the output.
double	getEntropy() Gets the entropy of the values in the histogram.
DeterministicDistribution.PMF	getProbabilityFunction() Gets the distribution function associated with this Distribution, either the PDF or PMF.
double	logEvaluate(java.lang.Double input) Evaluate the natural logarithm of the distribution function.

Methods inherited from class gov.sandia.cognition.statistics.distribution.DeterministicDistribution

convertFromVector, convertToVector, getCDF, getDomain, getDomainSize, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getPoint, getVariance, sampleInto, setPoint

Methods inherited from class gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution

clone

Methods inherited from class gov.sandia.cognition.statistics.AbstractDistribution

sample, sample

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.statistics.DiscreteDistribution

getDomain, getDomainSize

Methods inherited from interface gov.sandia.cognition.statistics.Distribution

sample, sample, sampleInto

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable

clone

Constructor Detail

PMF

public PMF()

Creates a new instance of DeterministicDistribution

PMF

public PMF(double point)

Creates a new instance of DeterministicDistribution

Parameters:

point - Location of the distribution

PMF

public PMF(DeterministicDistribution other)

Copy Constructor

Parameters:

other - DeterministicDistribution to copy

Method Detail

getEntropy

public double getEntropy()

Description copied from interface: ProbabilityMassFunction

Gets the entropy of the values in the histogram.

Specified by:

getEntropy in interface ProbabilityMassFunction<java.lang.Double>

Returns:

The entropy of the values in the histogram.

logEvaluate

public double logEvaluate(java.lang.Double input)

Description copied from interface: ProbabilityFunction

Evaluate the natural logarithm of the distribution function. This is sometimes more efficient than evaluating the distribution function itself, and when evaluating the product of many independent or exchangeable samples.

Specified by:

logEvaluate in interface ProbabilityFunction<java.lang.Double>

Parameters:

input - The input to be evaluated

Returns:

Natural logarithm of the distribution function.

evaluate

public java.lang.Double evaluate(java.lang.Double input)

Description copied from interface: Evaluator

Evaluates the function on the given input and returns the output.

Specified by:

evaluate in interface Evaluator<java.lang.Double,java.lang.Double>

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.

getProbabilityFunction

public DeterministicDistribution.PMF getProbabilityFunction()

Description copied from interface: ComputableDistribution

Gets the distribution function associated with this Distribution, either the PDF or PMF.

Specified by:

getProbabilityFunction in interface ComputableDistribution<java.lang.Double>

Specified by:

getProbabilityFunction in interface DiscreteDistribution<java.lang.Double>

Specified by:

getProbabilityFunction in interface ProbabilityMassFunction<java.lang.Double>

Overrides:

getProbabilityFunction in class DeterministicDistribution

Returns:

Distribution function associated with this Distribution.