java.lang.Object
- cc.mallet.topics.LabeledLDA

All Implemented Interfaces:

java.io.Serializable
```
public class LabeledLDA
extends java.lang.Object
implements java.io.Serializable
```
LabeledLDA

Author:

David Mimno

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field	Description
`protected double`	`alpha`
`protected Alphabet`	`alphabet`
`protected double`	`beta`
`protected double`	`betaSum`
`protected java.util.ArrayList<TopicAssignment>`	`data`
`static double`	`DEFAULT_BETA`
`protected Alphabet`	`labelAlphabet`
`protected static java.util.logging.Logger`	`logger`
`int`	`numIterations`
`protected int`	`numTopics`
`protected int`	`numTypes`
`protected int[]`	`oneDocTopicCounts`
`protected boolean`	`printLogLikelihood`
`protected Randoms`	`random`
`int`	`showTopicsInterval`
`protected int[]`	`tokensPerTopic`
`protected LabelAlphabet`	`topicAlphabet`
`protected int[][]`	`typeTopicCounts`
`int`	`wordsPerTopic`

Constructor Summary

Constructors
Constructor Description

LabeledLDA(double alpha, double beta)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`addInstances(InstanceList training)`
`void`	`estimate()`
`Alphabet`	`getAlphabet()`
`java.util.ArrayList<TopicAssignment>`	`getData()`
`LabelAlphabet`	`getTopicAlphabet()`
`int[]`	`getTopicTotals()`
`int[][]`	`getTypeTopicCounts()`
`void`	`initializeFromState(java.io.File stateFile)`
`static void`	`main(java.lang.String[] args)`
`double`	`modelLogLikelihood()`
`static LabeledLDA`	`read(java.io.File f)`
`protected void`	`sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureVector labels, FeatureSequence topicSequence)`
`void`	`setNumIterations(int numIterations)`
`void`	`setRandomSeed(int seed)`
`void`	`setTopicDisplay(int interval, int n)`
`java.lang.String`	`topWords(int numWords)`
`void`	`write(java.io.File f)`

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

Field Detail

logger

protected static java.util.logging.Logger logger

data

protected java.util.ArrayList<TopicAssignment> data

alphabet
```
protected Alphabet alphabet
```

labelAlphabet
```
protected Alphabet labelAlphabet
```

topicAlphabet
```
protected LabelAlphabet topicAlphabet
```

numTopics
```
protected int numTopics
```

numTypes
```
protected int numTypes
```

alpha
```
protected double alpha
```

beta
```
protected double beta
```

betaSum
```
protected double betaSum
```

DEFAULT_BETA
```
public static final double DEFAULT_BETA
```
See Also:

Constant Field Values

oneDocTopicCounts
```
protected int[] oneDocTopicCounts
```

typeTopicCounts
```
protected int[][] typeTopicCounts
```

tokensPerTopic
```
protected int[] tokensPerTopic
```

numIterations
```
public int numIterations
```

showTopicsInterval
```
public int showTopicsInterval
```

wordsPerTopic
```
public int wordsPerTopic
```

random
```
protected Randoms random
```

printLogLikelihood
```
protected boolean printLogLikelihood
```

Constructor Detail

LabeledLDA

public LabeledLDA(double alpha,
                  double beta)

Method Detail

getAlphabet
```
public Alphabet getAlphabet()
```

getTopicAlphabet

public LabelAlphabet getTopicAlphabet()

getData

public java.util.ArrayList<TopicAssignment> getData()

setTopicDisplay

public void setTopicDisplay(int interval,
                            int n)

setRandomSeed

public void setRandomSeed(int seed)

setNumIterations

public void setNumIterations(int numIterations)

getTypeTopicCounts
```
public int[][] getTypeTopicCounts()
```

getTopicTotals
```
public int[] getTopicTotals()
```

addInstances

public void addInstances(InstanceList training)

initializeFromState

public void initializeFromState(java.io.File stateFile)
                         throws java.io.IOException

Throws:: java.io.IOException

estimate

public void estimate()
              throws java.io.IOException

Throws:: java.io.IOException

sampleTopicsForOneDoc

protected void sampleTopicsForOneDoc(FeatureSequence tokenSequence,
                                     FeatureVector labels,
                                     FeatureSequence topicSequence)

modelLogLikelihood
```
public double modelLogLikelihood()
```

topWords

public java.lang.String topWords(int numWords)

write
```
public void write(java.io.File f)
```

read

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

Throws:: java.lang.Exception

main

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

Throws:: java.lang.Exception

Class LabeledLDA

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

logger

data

alphabet

labelAlphabet

topicAlphabet

numTopics

numTypes

alpha

beta

betaSum

DEFAULT_BETA

oneDocTopicCounts

typeTopicCounts

tokensPerTopic

numIterations

showTopicsInterval

wordsPerTopic

random

printLogLikelihood

Constructor Detail

LabeledLDA

Method Detail

getAlphabet

getTopicAlphabet

getData

setTopicDisplay

setRandomSeed

setNumIterations

getTypeTopicCounts

getTopicTotals

addInstances

initializeFromState

estimate

sampleTopicsForOneDoc

modelLogLikelihood

topWords

write

read

main