keel.Algorithms.Rule_Learning.ART

Class ART

java.lang.Object

keel.Algorithms.Rule_Learning.ART.Algorithm

keel.Algorithms.Rule_Learning.ART.ART

public class ART
extends Algorithm

A Java implementation of the ART algorithm

Version:

1.0 (28-02-2010)

Author:

Ines de la Torre Quesada (UJA)

Field Summary

Fields inherited from class keel.Algorithms.Rule_Learning.ART.Algorithm

correct, log, modelDataset, modelFileName, resultFileName, startTime, testCorrect, testDataset, testFileName, testOutputFileName, trainDataset, trainFileName, trainOutputFileName

Constructor Summary

Constructors

Constructor and Description
ART(java.lang.String paramFile) Constructor.

Method Summary

Modifier and Type	Method and Description
int	evaluateItemset(Itemset itemset, keel.Algorithms.Rule_Learning.ART.Node node) Function to evaluate the class which the itemset must have according to the classification of the tree.
void	generateTree() Run the algorithm.
static void	main(java.lang.String[] args) Main function.
void	printResult() Writes the tree and the results of the training and the test in the file.
void	printTest() Evaluates the test dataset and writes the results in the file.
void	printTrain() Evaluates the training dataset and writes the results in the file.
protected void	setOptions(java.io.StreamTokenizer options) Function to read the options from the execution file and assign the values to the parameters.
java.lang.String	writeTree(keel.Algorithms.Rule_Learning.ART.Node node, java.lang.String tab) Function to write the decision tree in the form of rules.

Methods inherited from class keel.Algorithms.Rule_Learning.ART.Algorithm

getHeader, initTokenizer

Methods inherited from class java.lang.Object

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

Constructor Detail

ART

public ART(java.lang.String paramFile)

Constructor.

Parameters:

paramFile - The parameters file.

Method Detail

setOptions

protected void setOptions(java.io.StreamTokenizer options)
                   throws java.lang.Exception

Function to read the options from the execution file and assign the values to the parameters.

Specified by:

setOptions in class Algorithm

Parameters:

options - The StreamTokenizer that reads the parameters file.

Throws:

java.lang.Exception - If the format of the file is not correct.

generateTree

public void generateTree()

Run the algorithm.

writeTree

public java.lang.String writeTree(keel.Algorithms.Rule_Learning.ART.Node node,
                                  java.lang.String tab)

Function to write the decision tree in the form of rules.

Parameters:

node - The current node.

tab - The indentation of the current rule.

Returns:

The tree in form of rules.

evaluateItemset

public int evaluateItemset(Itemset itemset,
                           keel.Algorithms.Rule_Learning.ART.Node node)

Function to evaluate the class which the itemset must have according to the classification of the tree.

Parameters:

itemset - The itemset to evaluate.

node - The node that is evaluated at this time.

Returns:

The index of the class index predicted.

printResult

public void printResult()
                 throws java.io.IOException

Writes the tree and the results of the training and the test in the file.

Specified by:

printResult in class Algorithm

Throws:

java.io.IOException - If the file cannot be written.

printTrain

public void printTrain()

Evaluates the training dataset and writes the results in the file.

Specified by:

printTrain in class Algorithm

printTest

public void printTest()

Evaluates the test dataset and writes the results in the file.

Specified by:

printTest in class Algorithm

main

public static void main(java.lang.String[] args)

Main function.

Parameters:

args - The parameters file.