keel.Algorithms.ImbalancedClassification.Resampling.RandomOverSampling

Class RandomOverSampling

java.lang.Object

keel.Algorithms.Preprocess.Basic.Metodo

keel.Algorithms.ImbalancedClassification.Resampling.RandomOverSampling.RandomOverSampling

public class RandomOverSampling
extends Metodo

File: RandomOverSampling.java

The Random Over Sampling algorithm is an oversampling method used to deal with the imbalanced problem that generates positive instances randomly.

Since:

JDK1.5

Version:

0.1

Author:

Written by Salvador Garcia Lopez (University of Granada) 30/03/2006, Modified by Victoria Lopez Morales (University of Granada) 23/07/2010, Modified by Victoria Lopez Morales (University of Granada) 21/09/2010

Field Summary

Fields inherited from class keel.Algorithms.Preprocess.Basic.Metodo

clasesTest, clasesTrain, datosTest, datosTrain, distanceEu, entradas, ficheroSalida, ficheroTest, ficheroTraining, ficheroValidation, nEntradas, nominalDistance, nominalTrain, nulosTrain, realTest, realTrain, relation, salida, stdDev, test, training

Constructor Summary

Constructors

Constructor and Description
RandomOverSampling(java.lang.String ficheroScript) Constructor of the class.

Method Summary

Modifier and Type	Method and Description
void	leerConfiguracion(java.lang.String ficheroScript) Obtains the parameters used in the execution of the algorithm and stores them in the private variables of the class
protected void	normalizar() This function builds the data matrix for reference data and normalizes inputs values
void	run() The main method of the class that includes the operations of the algorithm.

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomOverSampling

public RandomOverSampling(java.lang.String ficheroScript)

Constructor of the class. It configures the execution of the algorithm by reading the configuration script that indicates the parameters that are going to be used.

Parameters:

ficheroScript - Name of the configuration script that indicates the parameters that are going to be used during the execution of the algorithm

Method Detail

run

public void run()

The main method of the class that includes the operations of the algorithm. It includes all the operations that the algorithm has and finishes when it writes the output information into files.

leerConfiguracion

public void leerConfiguracion(java.lang.String ficheroScript)

Obtains the parameters used in the execution of the algorithm and stores them in the private variables of the class

Overrides:

leerConfiguracion in class Metodo

Parameters:

ficheroScript - Name of the configuration script that indicates the parameters that are going to be used during the execution of the algorithm

normalizar

protected void normalizar()
                   throws CheckException

This function builds the data matrix for reference data and normalizes inputs values

Overrides:

normalizar in class Metodo

Throws:

CheckException - Can not be normalized