gov.sandia.cognition.text.topic

Class LatentDirichletAllocationVectorGibbsSampler.Result

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result

All Implemented Interfaces:

CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

LatentDirichletAllocationVectorGibbsSampler

public static class LatentDirichletAllocationVectorGibbsSampler.Result
extends AbstractCloneableSerializable

Represents the result of performing Latent Dirichlet Allocation.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double[][]	documentTopicProbabilities The document-topic probabilities, which are often called the theta model parameters.
protected double[][]	topicTermProbabilities The topic-term probabilities, which are the often called the phi model parameters.
protected int	totalOccurrences The total number for term occurrences

Constructor Summary

Constructors

Constructor and Description
Result(int topicCount, int documentCount, int termCount, int totalOccurrences) Creates a new Result.

Method Summary

Modifier and Type	Method and Description
int	getDocumentCount() Gets the number of documents in the dataset.
double[][]	getDocumentTopicProbabilities() Gets the topic-term probabilities, which are the often called the phi model parameters.
int	getTermCount() Gets the number of terms in the dataset.
int	getTopicCount() Gets the number of topics (k) created by the topic model.
double[][]	getTopicTermProbabilities() Gets the document-topic probabilities, which are often called the theta model parameters.
int	getTotalOccurrences() Gets the total number of term occurrences
void	setDocumentTopicProbabilities(double[][] documentTopicProbabilities) Sets the topic-term probabilities, which are the often called the phi model parameters.
void	setTopicTermProbabilities(double[][] topicTermProbabilities) Sets the document-topic probabilities, which are often called the theta model parameters.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Field Detail

topicTermProbabilities

protected double[][] topicTermProbabilities

The topic-term probabilities, which are the often called the phi model parameters. Note that if multiple samples are taken, this will be a sum of the probabilities for the different samples until the algorithm is done and they are turned into an average.

documentTopicProbabilities

protected double[][] documentTopicProbabilities

The document-topic probabilities, which are often called the theta model parameters. Note that if multiple samples are taken, this will be a sum of the probabilities for the different samples until the algorithm is done and they are turned into an average.

totalOccurrences

protected int totalOccurrences

The total number for term occurrences

Constructor Detail

Result

public Result(int topicCount,
              int documentCount,
              int termCount,
              int totalOccurrences)

Creates a new Result.

Parameters:

topicCount - The number of topics.

documentCount - The number of documents.

termCount - The number of terms.

totalOccurrences - The number of term occurrences.

Method Detail

getTopicCount

public int getTopicCount()

Gets the number of topics (k) created by the topic model.

Returns:

The number of topics created by the topic model.

getDocumentCount

public int getDocumentCount()

Gets the number of documents in the dataset.

Returns:

The number of documents.

getTermCount

public int getTermCount()

Gets the number of terms in the dataset.

Returns:

The number of terms.

getTotalOccurrences

public int getTotalOccurrences()

Gets the total number of term occurrences

Returns:

The number of occurrences.

getDocumentTopicProbabilities

public double[][] getDocumentTopicProbabilities()

Gets the topic-term probabilities, which are the often called the phi model parameters.

Returns:

The topic-term probabilities.

setDocumentTopicProbabilities

public void setDocumentTopicProbabilities(double[][] documentTopicProbabilities)

Sets the topic-term probabilities, which are the often called the phi model parameters.

Parameters:

documentTopicProbabilities - The topic-term probabilities.

getTopicTermProbabilities

public double[][] getTopicTermProbabilities()

Gets the document-topic probabilities, which are often called the theta model parameters.

Returns:

The document-topic probabilities.

setTopicTermProbabilities

public void setTopicTermProbabilities(double[][] topicTermProbabilities)

Sets the document-topic probabilities, which are often called the theta model parameters.

Parameters:

topicTermProbabilities - The document-topic probabilities.