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<java.lang.String,double[]>	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<java.lang.String,double[]>	getFeatureTable() Returns the feature hash
void	setClassPriors(double[] priors) Sets the class priors
void	setFeatureTable(java.util.Hashtable<java.lang.String,double[]> 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<java.lang.String,double[]> 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<java.lang.String,double[]> table)

Sets the feature hash

getFeatureTable

public java.util.Hashtable<java.lang.String,double[]> getFeatureTable()

Returns the feature hash