cc.mallet.topics.tui

Class DMRLoader

java.lang.Object

cc.mallet.topics.tui.DMRLoader

All Implemented Interfaces:

java.io.Serializable

public class DMRLoader
extends java.lang.Object
implements java.io.Serializable

This class loads data into the format for the MALLET Dirichlet-multinomial regression (DMR). DMR topic models learn topic assignments conditioned on observed features.

The input format consists of two files, one for text and the other for features. The "text" file consists of one document per line. This class will tokenize and remove stopwords.

The "features" file contains whitespace-delimited features in this format: blue heavy width=12.08 Features without explicit values ("blue" and "heavy" in the example) are set to 1.0.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DMRLoader()

Method Summary

Modifier and Type	Method and Description
void	load(java.io.File wordsFile, java.io.File featuresFile, java.io.File instancesFile)
static void	main(java.lang.String[] args)
static java.io.BufferedReader	openReader(java.io.File file)

Methods inherited from class java.lang.Object

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

Constructor Detail

DMRLoader

public DMRLoader()

Method Detail

openReader

public static java.io.BufferedReader openReader(java.io.File file)
                                         throws java.io.IOException

Throws:

java.io.IOException

load

public void load(java.io.File wordsFile,
                 java.io.File featuresFile,
                 java.io.File instancesFile)
          throws java.io.IOException,
                 java.io.FileNotFoundException

Throws:

java.io.IOException

java.io.FileNotFoundException

main

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

Throws:

java.io.FileNotFoundException

java.io.IOException