org.openimaj.pgm.vb.lda.mle

Class LDABetaInitStrategy.RandomBetaInit

java.lang.Object

org.openimaj.pgm.vb.lda.mle.LDABetaInitStrategy.RandomBetaInit

All Implemented Interfaces:

LDABetaInitStrategy

Enclosing interface:

LDABetaInitStrategy

public static class LDABetaInitStrategy.RandomBetaInit
extends Object
implements LDABetaInitStrategy

initialises beta randomly s.t. each each topicWord >= 1 and < 2

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Nested Class Summary

Nested classes/interfaces inherited from interface org.openimaj.pgm.vb.lda.mle.LDABetaInitStrategy

LDABetaInitStrategy.RandomBetaInit

Constructor Summary

Constructors

Constructor and Description
LDABetaInitStrategy.RandomBetaInit() unseeded random
LDABetaInitStrategy.RandomBetaInit(int seed) seeded random

Method Summary

Methods

Modifier and Type	Method and Description
void	initModel(LDAModel model, Corpus corpus) Given a model and the corpus initialise the model's sufficient statistics

Methods inherited from class java.lang.Object

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

Constructor Detail

LDABetaInitStrategy.RandomBetaInit

public LDABetaInitStrategy.RandomBetaInit()

unseeded random

LDABetaInitStrategy.RandomBetaInit

public LDABetaInitStrategy.RandomBetaInit(int seed)

seeded random

Parameters:

seed -

Method Detail

initModel

public void initModel(LDAModel model,
             Corpus corpus)

Description copied from interface: LDABetaInitStrategy

Given a model and the corpus initialise the model's sufficient statistics

Specified by:

initModel in interface LDABetaInitStrategy