cc.mallet.topics
Class HierarchicalPAM

java.lang.Object
  cc.mallet.topics.HierarchicalPAM

public class HierarchicalPAM
extends java.lang.Object

Hierarchical PAM, where each node in the DAG has a distribution over all topics on the next level and one additional "node-specific" topic.

Author:

David Mimno

Field Summary

protected static java.util.logging.Logger	logger
static int	NUM_LEVELS
static int	ROOT_TOPIC
static int	SUB_TOPIC
static int	SUPER_TOPIC

Constructor Summary

HierarchicalPAM(int superTopics, int subTopics, double superTopicBalance, double subTopicBalance)

Method Summary

void	estimate(InstanceList documents, InstanceList testing, int numIterations, int showTopicsInterval, int outputModelInterval, int optimizeInterval, java.lang.String outputModelFilename, Randoms r)
static void	main(java.lang.String[] args)
double	modelLogLikelihood()
void	printState(java.io.File f)
void	printState(java.io.PrintWriter out)
java.lang.String	printTopWords(int numWords, boolean useNewLines)

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

NUM_LEVELS

public static final int NUM_LEVELS

See Also:

Constant Field Values

ROOT_TOPIC

public static final int ROOT_TOPIC

See Also:

Constant Field Values

SUPER_TOPIC

public static final int SUPER_TOPIC

See Also:

Constant Field Values

SUB_TOPIC

public static final int SUB_TOPIC

See Also:

Constant Field Values

Constructor Detail

HierarchicalPAM

public HierarchicalPAM(int superTopics,
                       int subTopics,
                       double superTopicBalance,
                       double subTopicBalance)

Method Detail

estimate

public void estimate(InstanceList documents,
                     InstanceList testing,
                     int numIterations,
                     int showTopicsInterval,
                     int outputModelInterval,
                     int optimizeInterval,
                     java.lang.String outputModelFilename,
                     Randoms r)

printTopWords

public java.lang.String printTopWords(int numWords,
                                      boolean useNewLines)

printState

public void printState(java.io.File f)
                throws java.io.IOException

Throws:

java.io.IOException

printState

public void printState(java.io.PrintWriter out)

modelLogLikelihood

public double modelLogLikelihood()

main

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

Throws:

java.io.IOException