Dirichlet (Stanford JavaNLP API)

java.lang.Object
- edu.stanford.nlp.stats.Dirichlet<E>

All Implemented Interfaces:

ConjugatePrior<Multinomial<E>,E>, ProbabilityDistribution<Multinomial<E>>, java.io.Serializable
```
public class Dirichlet<E>
extends java.lang.Object
implements ConjugatePrior<Multinomial<E>,E>
```
simple dirichlet distribution.

Author:

Jenny Finkel

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description

Dirichlet(Counter<E> parameters)

Constructors
Constructor and Description
`Dirichlet(Counter<E> parameters)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Multinomial<E>`	`drawSample(java.util.Random random)`
`static <F> Multinomial<F>`	`drawSample(java.util.Random random, Counter<F> parameters)`
`static double[]`	`drawSample(java.util.Random random, double[] parameters)`
`Dirichlet<E>`	`getPosteriorDistribution(Counter<E> counts)` Gets the ConjugatePrior which results from conditioning on all of these evidence.
`double`	`getPosteriorPredictiveLogProbability(Counter<E> counts, E object)`
`double`	`getPosteriorPredictiveProbability(Counter<E> counts, E object)` Gets the posterior probability of the observation, after conditioning on all of the evidence.
`double`	`getPredictiveLogProbability(E object)`
`double`	`getPredictiveProbability(E object)` Marginalizes over all possible likelihood distributions to give the marginal probability of the observation.
`double`	`logProbabilityOf(Multinomial<E> object)`
`double`	`probabilityOf(Multinomial<E> object)`
`static double`	`sampleBeta(double a, double b, java.util.Random random)`
`java.lang.String`	`toString()`
`static double`	`unnormalizedLogProbabilityOf(double[] mult, double[] params)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - Dirichlet
```
public Dirichlet(Counter<E> parameters)
```
- Method Detail
  - drawSample
```
public Multinomial<E> drawSample(java.util.Random random)
```
    Specified by:
    
    drawSample in interface ProbabilityDistribution<Multinomial<E>>
  - drawSample
```
public static <F> Multinomial<F> drawSample(java.util.Random random,
                                            Counter<F> parameters)
```
  - drawSample
```
public static double[] drawSample(java.util.Random random,
                                  double[] parameters)
```
  - sampleBeta
```
public static double sampleBeta(double a,
                                double b,
                                java.util.Random random)
```
  - getPredictiveProbability
```
public double getPredictiveProbability(E object)
```
    Description copied from interface: ConjugatePrior
    
    Marginalizes over all possible likelihood distributions to give the marginal probability of the observation.
    
    Specified by:
    
    getPredictiveProbability in interface ConjugatePrior<Multinomial<E>,E>
  - getPredictiveLogProbability
```
public double getPredictiveLogProbability(E object)
```
    Specified by:
    
    getPredictiveLogProbability in interface ConjugatePrior<Multinomial<E>,E>
  - getPosteriorDistribution
```
public Dirichlet<E> getPosteriorDistribution(Counter<E> counts)
```
    Description copied from interface: ConjugatePrior
    
    Gets the ConjugatePrior which results from conditioning on all of these evidence.
    
    Specified by:
    
    getPosteriorDistribution in interface ConjugatePrior<Multinomial<E>,E>
  - getPosteriorPredictiveProbability
```
public double getPosteriorPredictiveProbability(Counter<E> counts,
                                                E object)
```
    Description copied from interface: ConjugatePrior
    
    Gets the posterior probability of the observation, after conditioning on all of the evidence. Marginalizes over all possible likelihood distributions.
    
    Specified by:
    
    getPosteriorPredictiveProbability in interface ConjugatePrior<Multinomial<E>,E>
  - getPosteriorPredictiveLogProbability
```
public double getPosteriorPredictiveLogProbability(Counter<E> counts,
                                                   E object)
```
    Specified by:
    
    getPosteriorPredictiveLogProbability in interface ConjugatePrior<Multinomial<E>,E>
  - probabilityOf
```
public double probabilityOf(Multinomial<E> object)
```
    Specified by:
    
    probabilityOf in interface ProbabilityDistribution<Multinomial<E>>
  - unnormalizedLogProbabilityOf
```
public static double unnormalizedLogProbabilityOf(double[] mult,
                                                  double[] params)
```
  - logProbabilityOf
```
public double logProbabilityOf(Multinomial<E> object)
```
    Specified by:
    
    logProbabilityOf in interface ProbabilityDistribution<Multinomial<E>>
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class java.lang.Object

Class Dirichlet<E>

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Dirichlet

Method Detail

drawSample

drawSample

drawSample

sampleBeta

getPredictiveProbability

getPredictiveLogProbability

getPosteriorDistribution

getPosteriorPredictiveProbability

getPosteriorPredictiveLogProbability

probabilityOf

unnormalizedLogProbabilityOf

logProbabilityOf

toString