Package cc.mallet.topics

Class PAM4L

  • public class PAM4L
extends java.lang.Object
    Four Level Pachinko Allocation with MLE learning, based on Andrew's Latent Dirichlet Allocation.
    Author:
    David Mimno

    • Constructor Summary

      Constructors 
      Constructor Description
      PAM4L​(int superTopics, int subTopics)  
      PAM4L​(int superTopics, int subTopics, double alphaSum, double beta)  

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void estimate​(InstanceList documents, int numIterations, int optimizeInterval, int showTopicsInterval, int outputModelInterval, java.lang.String outputModelFilename, Randoms r)  
      void learnParameters​(double[] parameters, int[][] observations, int[] observationLengths)
      Use the fixed point iteration described by Tom Minka.
      static void main​(java.lang.String[] args)  
      void printDocumentTopics​(java.io.File f)  
      void printDocumentTopics​(java.io.PrintWriter pw, double threshold, int max)  
      void printState​(java.io.File f)  
      void printState​(java.io.PrintWriter pw)  
      void printTopWords​(int numWords, boolean useNewLines)  
      void printWordCounts()  

      • Methods inherited from class java.lang.Object

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

    • Constructor Detail

      • PAM4L

        public PAM4L​(int superTopics,
             int subTopics)

      • PAM4L

        public PAM4L​(int superTopics,
             int subTopics,
             double alphaSum,
             double beta)

    • Method Detail

      • estimate

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

      • learnParameters

        public void learnParameters​(double[] parameters,
                            int[][] observations,
                            int[] observationLengths)
        Use the fixed point iteration described by Tom Minka.

      • printWordCounts

        public void printWordCounts()

      • printTopWords

        public void printTopWords​(int numWords,
                          boolean useNewLines)

      • printDocumentTopics

        public void printDocumentTopics​(java.io.File f)
                         throws java.io.IOException
        Throws:
        java.io.IOException

      • printDocumentTopics

        public void printDocumentTopics​(java.io.PrintWriter pw,
                                double threshold,
                                int max)

      • printState

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

      • printState

        public void printState​(java.io.PrintWriter pw)

      • main

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