Package cc.mallet.topics

Class DMRTopicModel

java.lang.Object

cc.mallet.topics.ParallelTopicModel

cc.mallet.topics.DMRTopicModel

All Implemented Interfaces:

java.io.Serializable

public class DMRTopicModel
extends ParallelTopicModel

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
java.lang.String	parametersFilename
int	saveParametersInterval

Fields inherited from class cc.mallet.topics.ParallelTopicModel

alpha, alphabet, alphaSum, beta, betaSum, burninPeriod, data, DEFAULT_BETA, docLengthCounts, formatter, logger, modelFilename, numIterations, numTopics, numTypes, optimizeInterval, printLogLikelihood, randomSeed, saveModelInterval, saveSampleInterval, saveStateInterval, showTopicsInterval, stateFilename, temperingInterval, tokensPerTopic, topicAlphabet, topicBits, topicDocCounts, topicMask, totalTokens, typeTopicCounts, UNASSIGNED_TOPIC, usingSymmetricAlpha, wordsPerTopic

Constructor Summary

Constructors

Constructor	Description
DMRTopicModel(int numberOfTopics)

Method Summary

Modifier and Type	Method	Description
void	addInstances(InstanceList training)
void	cacheAlphas(Instance instance, int docIndex)	Set alpha based on features in an instance
void	estimate()
MaxEnt	getDmrParameters()
DMRInferencer	getInferencer()	Return a tool for estimating topic distributions for new documents
void	learnParameters()
static void	main(java.lang.String[] args)
double	modelLogLikelihood()
void	printTopWords(java.io.PrintStream out, int numWords, boolean usingNewLines)
static DMRTopicModel	read(java.io.File f)
void	write(java.io.File serializedModelFile)
void	writeParameters(java.io.File parameterFile)

Methods inherited from class cc.mallet.topics.ParallelTopicModel

buildInitialTypeTopicCounts, displayTopWords, getAlphabet, getData, getDocumentTopics, getNumTopics, getProbEstimator, getSortedWords, getSubCorpusTopicWords, getTokensPerTopic, getTopicAlphabet, getTopicDocuments, getTopicProbabilities, getTopicProbabilities, getTopicWords, getTopWords, getTypeTopicCounts, initializeFromState, maximize, optimizeAlpha, optimizeBeta, printDenseDocumentTopics, printDocumentTopics, printDocumentTopics, printDocumentTopics, printState, printState, printTopicDocuments, printTopicDocuments, printTopicWordWeights, printTopicWordWeights, printTopWords, printTypeTopicCounts, setBurninPeriod, setNumIterations, setNumThreads, setNumTopics, setOptimizeInterval, setRandomSeed, setSaveSerializedModel, setSaveState, setSymmetricAlpha, setTemperingInterval, setTopicDisplay, temperAlpha, topicPhraseXMLReport, topicXMLReport

Methods inherited from class java.lang.Object

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

Field Detail

parametersFilename

public java.lang.String parametersFilename

saveParametersInterval

public int saveParametersInterval

Constructor Detail

DMRTopicModel

public DMRTopicModel(int numberOfTopics)

Method Detail

addInstances

public void addInstances(InstanceList training)

Overrides:

addInstances in class ParallelTopicModel

estimate

public void estimate()
              throws java.io.IOException

Overrides:

estimate in class ParallelTopicModel

Throws:

java.io.IOException

cacheAlphas

public void cacheAlphas(Instance instance,
                        int docIndex)

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 ParallelTopicModel

writeParameters

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

Throws:

java.io.IOException

getDmrParameters

public MaxEnt getDmrParameters()

modelLogLikelihood

public double modelLogLikelihood()

Overrides:

modelLogLikelihood in class ParallelTopicModel

getInferencer

public DMRInferencer getInferencer()

Return a tool for estimating topic distributions for new documents

Overrides:

getInferencer in class ParallelTopicModel

write

public void write(java.io.File serializedModelFile)

Overrides:

write in class ParallelTopicModel

read

public static DMRTopicModel read(java.io.File f)
                          throws java.lang.Exception

Throws:

java.lang.Exception

main

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

Throws:

java.io.IOException