gov.sandia.cognition.statistics.distribution

Class ChineseRestaurantProcess.PMF

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

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

gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess

gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess.PMF

All Implemented Interfaces:

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

Enclosing class:

ChineseRestaurantProcess

public static class ChineseRestaurantProcess.PMF
extends ChineseRestaurantProcess
implements ProbabilityMassFunction<Vector>

PMF of the Chinese Restaurant Process

See Also:

Serialized Form

Nested Class Summary

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

ChineseRestaurantProcess.PMF

Field Summary

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

alpha, DEFAULT_ALPHA, DEFAULT_NUM_CUSTOMERS, numCustomers

Constructor Summary

Constructors

Constructor and Description
PMF() Creates a new instance of ChineseRestaurantProcess
PMF(ChineseRestaurantProcess other) Copy constructor
PMF(double alpha, int numCustomers) Creates a new instance of ChineseRestaurantProcess

Method Summary

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

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

clone, convertFromVector, convertToVector, getAlpha, getDomain, getDomainSize, getMean, getNumCustomers, sample, sampleInto, sampleNextCustomer, setAlpha, setNumCustomers

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

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

Constructor Detail

PMF

public PMF()

Creates a new instance of ChineseRestaurantProcess

PMF

public PMF(double alpha,
           int numCustomers)

Creates a new instance of ChineseRestaurantProcess

Parameters:

alpha - CRP concentration parameter, must be greater than zero.

numCustomers - Total number of customers that we will arrange around tables, must be greater than zero.

PMF

public PMF(ChineseRestaurantProcess other)

Copy constructor

Parameters:

other - CRP to copy

Method Detail

getProbabilityFunction

public ChineseRestaurantProcess.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<Vector>

Specified by:

getProbabilityFunction in interface DiscreteDistribution<Vector>

Specified by:

getProbabilityFunction in interface ProbabilityMassFunction<Vector>

Overrides:

getProbabilityFunction in class ChineseRestaurantProcess

Returns:

Distribution function associated with this Distribution.

getEntropy

public double getEntropy()

Description copied from interface: ProbabilityMassFunction

Gets the entropy of the values in the histogram.

Specified by:

getEntropy in interface ProbabilityMassFunction<Vector>

Returns:

The entropy of the values in the histogram.

logEvaluate

public double logEvaluate(Vector 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<Vector>

Parameters:

input - The input to be evaluated

Returns:

Natural logarithm of the distribution function.

evaluate

public java.lang.Double evaluate(Vector input)

Description copied from interface: Evaluator

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

Specified by:

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

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.