mark.nlp.features
Class SimpleOrderer

java.lang.Object
  |
  +--mark.nlp.features.ClassificationOrderer
        |
        +--mark.nlp.features.SimpleOrderer

All Implemented Interfaces:

Orderer

Direct Known Subclasses:

ChiSquared, MutualInformation, NegativeMutualInformation, PointwiseChiSquared, PointwiseMutualInformation, Random

public abstract class SimpleOrderer

extends ClassificationOrderer

A ClassificationOrderer that orders from the corpus counter alone. In other words, it only needs to know about the number of occurrences of each potential feature within the corpus and within each category.

Field Summary

Fields inherited from class mark.nlp.features.ClassificationOrderer

fCatCounters, fCounter, fPotentialFeatures

Constructor Summary

SimpleOrderer()

Method Summary

protected double[]	computeJustScores()
double[]	computeJustScores(BagCorpusCounter counter, BagCorpusCounter[] catCounters, ObjectMap potentialFeatures)
protected java.util.ArrayList	computeScores() Subclasses implement the following function which returns a Score for each potential feature in the set of potential features.
abstract double	updateScore(double oldScore, double numCW, double numC, double numW, double num)

Methods inherited from class mark.nlp.features.ClassificationOrderer

order, setParameter

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleOrderer

public SimpleOrderer()

Method Detail

updateScore

public abstract double updateScore(double oldScore,
                                   double numCW,
                                   double numC,
                                   double numW,
                                   double num)

computeJustScores

protected double[] computeJustScores()
                              throws java.lang.Exception

java.lang.Exception

computeScores

protected java.util.ArrayList computeScores()
                                     throws java.lang.Exception

Description copied from class: ClassificationOrderer

Subclasses implement the following function which returns a Score for each potential feature in the set of potential features.

Specified by:

computeScores in class ClassificationOrderer

Returns:

an array list of Scores. The array list is parallel to fVocabulary.

java.lang.Exception

computeJustScores

public double[] computeJustScores(BagCorpusCounter counter,
                                  BagCorpusCounter[] catCounters,
                                  ObjectMap potentialFeatures)
                           throws java.lang.Exception

java.lang.Exception