Package cc.mallet.topics

Class RTopicModel

java.lang.Object

cc.mallet.topics.ParallelTopicModel

cc.mallet.topics.RTopicModel

All Implemented Interfaces:

java.io.Serializable

public class RTopicModel
extends ParallelTopicModel

A wrapper for a topic model to be used from the R statistical package through rJava. R does not distinguish between integers and floating point numbers, so many of these methods simply translate doubles to ints.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
InstanceList	instances

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
RTopicModel(double numTopics, double alpha, double beta)

Method Summary

Modifier and Type	Method	Description
static void	addInstance(InstanceList instances, java.lang.String id, java.lang.String text)	This is a helper method that simplifies class casting from rJava.
static void	addInstances(InstanceList instances, java.lang.String[] ids, java.lang.String[] texts)
double[]	getAlpha()
TopicModelDiagnostics	getDiagnostics(double numWords)
java.lang.String[]	getDocumentNames()
java.lang.String[]	getVocabulary()
double[][]	getWordFrequencies()
void	loadDocuments(InstanceList instances)
void	loadDocuments(java.lang.String filename)
void	maximize(double numIterations)	Run iterated conditional modes
void	setAlphaOptimization(double frequency, double burnin)
void	train(double numIterations)
void	writeState(java.lang.String filename)

Methods inherited from class cc.mallet.topics.ParallelTopicModel

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

Methods inherited from class java.lang.Object

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

Field Detail

instances

public InstanceList instances

Constructor Detail

RTopicModel

public RTopicModel(double numTopics,
                   double alpha,
                   double beta)

Method Detail

loadDocuments

public void loadDocuments(java.lang.String filename)

loadDocuments

public void loadDocuments(InstanceList instances)

addInstance

public static void addInstance(InstanceList instances,
                               java.lang.String id,
                               java.lang.String text)

This is a helper method that simplifies class casting from rJava.

addInstances

public static void addInstances(InstanceList instances,
                                java.lang.String[] ids,
                                java.lang.String[] texts)

setAlphaOptimization

public void setAlphaOptimization(double frequency,
                                 double burnin)

train

public void train(double numIterations)

maximize

public void maximize(double numIterations)

Run iterated conditional modes

getAlpha

public double[] getAlpha()

getVocabulary

public java.lang.String[] getVocabulary()

getDocumentNames

public java.lang.String[] getDocumentNames()

getWordFrequencies

public double[][] getWordFrequencies()

getDiagnostics

public TopicModelDiagnostics getDiagnostics(double numWords)

writeState

public void writeState(java.lang.String filename)