keel.Algorithms.Preprocess.NoiseFilters.IterativePartitioningFilter

Class IterativePartitioningFilter

java.lang.Object

keel.Algorithms.Preprocess.NoiseFilters.IterativePartitioningFilter.IterativePartitioningFilter

public class IterativePartitioningFilter
extends java.lang.Object

The Ensemble Filter... Reference: 1999-Brodley-JAIR

Since:

JDK1.6

Version:

1.0

Author:

Written by Jose A. Saez Munoz, research group SCI2S (Soft Computing and Intelligent Information Systems). DECSAI (DEpartment of Computer Science and Artificial Intelligence), University of Granada - Spain. Date: 06/01/10

Constructor Summary

Constructors

Constructor and Description
IterativePartitioningFilter() It initializes the partitions from training set

Method Summary

Modifier and Type	Method and Description
void	createDatasets(java.lang.String trainIN, java.lang.String trainOUT, java.lang.String testIN, java.lang.String testOUT) It apllies the changes to remove the noise
void	createDatasetTrain(java.lang.String trainIN, java.lang.String trainOUT) It apllies the changes to remove the noise
void	run() It initializes the partitions from training set

Methods inherited from class java.lang.Object

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

Constructor Detail

IterativePartitioningFilter

public IterativePartitioningFilter()

It initializes the partitions from training set

Method Detail

run

public void run()

It initializes the partitions from training set

createDatasets

public void createDatasets(java.lang.String trainIN,
                           java.lang.String trainOUT,
                           java.lang.String testIN,
                           java.lang.String testOUT)

It apllies the changes to remove the noise

Parameters:

trainIN - Original Training dataset filename.

trainOUT - Modified Training dataset filename.

testIN - Original test dataset filename.

testOUT - Modified test dataset filename.

createDatasetTrain

public void createDatasetTrain(java.lang.String trainIN,
                               java.lang.String trainOUT)

It apllies the changes to remove the noise

Parameters:

trainIN -

trainOUT -