keel.Algorithms.Rule_Learning.DataSqueezer

Class DataSqueezer

java.lang.Object

keel.Algorithms.Rule_Learning.DataSqueezer.Algorithm

keel.Algorithms.Rule_Learning.DataSqueezer.DataSqueezer

public class DataSqueezer
extends Algorithm

A Java implementation of the DataSqueezer algorithm

Version:

1.0 (20-01-10)

Author:

Francisco Charte Ojeda

Field Summary

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

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
int	evaluateItemset(Itemset i) Function to evaluate the class which the itemset must have according to the classification of the rules.
void	generateRules() Run the DataSqueezer algorithm Francisco Charte - 16-ene-2010
static void	main(java.lang.String[] args) Main function.
void	printResult() Writes the rules 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	writeRules() Function to write the list of rules.

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

getHeader, initTokenizer

Methods inherited from class java.lang.Object

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

Constructor Detail

DataSqueezer

public DataSqueezer(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.

generateRules

public void generateRules()

Run the DataSqueezer algorithm Francisco Charte - 16-ene-2010

writeRules

public java.lang.String writeRules()

Function to write the list of rules. Francisco Charte - 19-ene-2010

Returns:

String with the list of rules

evaluateItemset

public int evaluateItemset(Itemset i)

Function to evaluate the class which the itemset must have according to the classification of the rules. Francisco Charte - 19-ene-2010

Parameters:

i - The itemset to evaluate.

Returns:

The index of the class index predicted or -1 if it's not described by any rule.

printResult

public void printResult()
                 throws java.io.IOException

Writes the rules and the results of the training and the test in the file. Francisco Charte - 19-ene-2010

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. Francisco Charte - 19-ene-2010

Specified by:

printTrain in class Algorithm

printTest

public void printTest()

Evaluates the test dataset and writes the results in the file. Francisco Charte - 19-ene-2010

Specified by:

printTest in class Algorithm

main

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

Main function. Francisco Charte - 16-ene-2010

Parameters:

args - The parameters file.