TAN Class Reference

Inheritance diagram for TAN:

Classes
class	NetNode

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

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

Detailed Description

Tree Augmented Network. Friedman et al., Machine Learning 1997

Ref: http://www.cs.technion.ac.il/~dang/journal_papers/friedman1997Bayesian.pdf Ref: http://ai.stanford.edu/~moises/tutorial/sld164.htm

Extends NaiveBayes class

Constructor & Destructor Documentation

TAN.TAN ( )

inline

Constructor of TAN

Member Function Documentation

ClassifyResult TAN.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 TAN.learn ( DataSet  trainSet )

inline

TAN learn method.

In addition to NaiveBayes probs, it will learn more such as condition mutual info, bi-attribute probabilities, build the net

Parameters

trainSet

DataSet to train on

void TAN.printStructure ( )

inlineprotected

Print structure

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

• TAN.java