NaiveBayes Class Reference

Inheritance diagram for NaiveBayes:

Public Member Functions
	NaiveBayes ()
void	learn (DataSet trainSet)
boolean	classify (DataSet testSet)

Protected Member Functions
void	printStructure ()
ClassifyResult	classify (String[] attributeValue)

Detailed Description

Naive Bayes classifier. After create an instance, need to train first and then classify

Constructor & Destructor Documentation

NaiveBayes.NaiveBayes ( )

inline

Constructor. Don't do too much, just create lists. Need to call learn() on trainSet to build classifer

Member Function Documentation

boolean NaiveBayes.classify ( DataSet  testSet )

inline

Classify a data set, print out the results and accuracy

Parameters

testSet

data set to classify

Returns

true if successfully classified. False if the network is not yet built.

ClassifyResult NaiveBayes.classify ( String[]  attributeValue )

inlineprotected

Given an array of attributes, classify it with trained bayes net, return the classification

Parameters

attributeValue

An array of attribute values

Returns

classification result, including the label and probability

void NaiveBayes.learn ( DataSet  trainSet )

inline

Learn probability table from training instances

Parameters

trainSet

training data set

Returns

true if training is success, otherwise false;

void NaiveBayes.printStructure ( )

inlineprotected

Print structure

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The documentation for this class was generated from the following file:

• NaiveBayes.java