edu.stanford.nlp.stats

Class Multinomial<E>

java.lang.Object

edu.stanford.nlp.stats.Multinomial<E>

All Implemented Interfaces:

ProbabilityDistribution<E>, java.io.Serializable

public class Multinomial<E>
extends java.lang.Object
implements ProbabilityDistribution<E>

a multinomial distribution. pretty straightforward. specify the parameters with a counter. It is assumed that the Counter's keySet() contains all of the parameters (i.e., there are not other possible values which are set to 0). It makes a copy of the Counter, so tha parameters cannot be changes, and it normalizes the values if they are not already normalized.

Author:

Jenny Finkel

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Multinomial(Counter<E> parameters)

Method Summary

Modifier and Type	Method and Description
E	drawSample(java.util.Random random)
boolean	equals(java.lang.Object o)
Counter<E>	getParameters()
int	hashCode()
double	logProbabilityOf(E object)
double	probabilityOf(E object)

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Multinomial

public Multinomial(Counter<E> parameters)

Method Detail

getParameters

public Counter<E> getParameters()

probabilityOf

public double probabilityOf(E object)

Specified by:

probabilityOf in interface ProbabilityDistribution<E>

logProbabilityOf

public double logProbabilityOf(E object)

Specified by:

logProbabilityOf in interface ProbabilityDistribution<E>

drawSample

public E drawSample(java.util.Random random)

Specified by:

drawSample in interface ProbabilityDistribution<E>

equals

public boolean equals(java.lang.Object o)

Overrides:

equals in class java.lang.Object

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object