ir.classifiers
Class BayesResult

java.lang.Object
  ir.classifiers.BayesResult

public class BayesResult
extends java.lang.Object

An object to hold the result of training a NaiveBayes classifier. Stores the class priors and the counts of features in each class.

Field Summary

protected double[]	classPriors Stores the prior probabilities of each class
protected java.util.Hashtable	featureTable Stores the counts for each feature: an entry in the hashTable stores the array of class counts for a feature

Constructor Summary

BayesResult()

Method Summary

double[]	getClassPriors() Returns the class priors
java.util.Hashtable	getFeatureTable() Returns the feature hash
void	setClassPriors(double[] priors) Sets the class priors
void	setFeatureTable(java.util.Hashtable table) Sets the feature hash

Methods inherited from class java.lang.Object

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

Field Detail

classPriors

protected double[] classPriors

Stores the prior probabilities of each class

featureTable

protected java.util.Hashtable featureTable

Stores the counts for each feature: an entry in the hashTable stores the array of class counts for a feature

Constructor Detail

BayesResult

public BayesResult()

Method Detail

setClassPriors

public void setClassPriors(double[] priors)

Sets the class priors

getClassPriors

public double[] getClassPriors()

Returns the class priors

setFeatureTable

public void setFeatureTable(java.util.Hashtable table)

Sets the feature hash

getFeatureTable

public java.util.Hashtable getFeatureTable()

Returns the feature hash