cc.mallet.topics
Class DMRTopicModel

java.lang.Object
  cc.mallet.topics.LDAHyper
      cc.mallet.topics.DMRTopicModel

All Implemented Interfaces:

java.io.Serializable

public class DMRTopicModel
extends LDAHyper

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class cc.mallet.topics.LDAHyper

LDAHyper.Topication

Field Summary

Fields inherited from class cc.mallet.topics.LDAHyper

alpha, alphabet, alphaSum, beta, betaSum, burninPeriod, cachedCoefficients, data, DEFAULT_BETA, docLengthCounts, formatter, iterationsSoFar, numIterations, numTopics, numTypes, oneDocTopicCounts, optimizeInterval, outputModelFilename, outputModelInterval, printLogLikelihood, random, saveSampleInterval, saveStateInterval, showTopicsInterval, smoothingOnlyMass, stateFilename, testing, tokensPerTopic, topicAlphabet, topicDocCounts, typeTopicCounts, wordsPerTopic

Constructor Summary

DMRTopicModel(int numberOfTopics)

Method Summary

void	estimate(int iterationsThisRound)
void	learnParameters()
static void	main(java.lang.String[] args)
void	printTopWords(java.io.PrintStream out, int numWords, boolean usingNewLines)
void	setAlphas() Use only the default features to set the topic prior (use no document features)
void	setAlphas(Instance instance) Set alpha based on features in an instance
void	setAlphas(int featureIndex) This method sets the alphas for a hypothetical "document" that contains a single non-default feature.
void	writeParameters(java.io.File parameterFile)

Methods inherited from class cc.mallet.topics.LDAHyper

addInstances, addInstances, empiricalLikelihood, estimate, getAlphabet, getCountFeatureTopic, getCountTokensPerTopic, getData, getNumTopics, getSortedTopicWords, getTopicAlphabet, initializeHistogramsAndCachedValues, instanceLength, modelLogLikelihood, printDocumentTopics, printDocumentTopics, printDocumentTopics, printState, printState, printTopWords, read, sampleTopicsForOneDoc, setBurninPeriod, setModelOutput, setNumIterations, setOptimizeInterval, setRandomSeed, setSaveState, setTestingInstances, setTopicDisplay, topicLabelMutualInformation, topicXMLReport, topicXMLReportPhrases, write

Methods inherited from class java.lang.Object

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

Constructor Detail

DMRTopicModel

public DMRTopicModel(int numberOfTopics)

Method Detail

estimate

public void estimate(int iterationsThisRound)
              throws java.io.IOException

Overrides:

estimate in class LDAHyper

Throws:

java.io.IOException

setAlphas

public void setAlphas()

Use only the default features to set the topic prior (use no document features)

setAlphas

public void setAlphas(int featureIndex)

This method sets the alphas for a hypothetical "document" that contains a single non-default feature.

setAlphas

public void setAlphas(Instance instance)

Set alpha based on features in an instance

learnParameters

public void learnParameters()

printTopWords

public void printTopWords(java.io.PrintStream out,
                          int numWords,
                          boolean usingNewLines)

Overrides:

printTopWords in class LDAHyper

writeParameters

public void writeParameters(java.io.File parameterFile)
                     throws java.io.IOException

Throws:

java.io.IOException

main

public static void main(java.lang.String[] args)
                 throws java.io.IOException

Throws:

java.io.IOException