keel.Algorithms.Decision_Trees.C45_Binarization

Class Metodo

java.lang.Object

keel.Algorithms.Decision_Trees.C45_Binarization.Metodo

Direct Known Subclasses:

ENN

public class Metodo
extends java.lang.Object

File: Metodo.java An auxiliary class to initialize Instance Selection algorithms

Since:

JDK1.5

Version:

0.1

Author:

Written by Salvador García (University of Granada) 20/07/2004, Modified by Isaac Triguero (University of Granada) 22/06/2010, Modified by Victoria Lopez (University of Granada) 21/09/2010

Field Summary

Fields

Modifier and Type	Field and Description
protected int[]	clasesTest Test output data.
protected int[]	clasesTrain Training output data.
protected double[][]	datosTest Test input data.
protected double[][]	datosTrain Training input data.
protected boolean	distanceEu Flag type of distance (true = euclidean, false = HVDM).
protected Attribute[]	entradas Input attributes.
protected java.lang.String[]	ficheroSalida Output files names.
protected java.lang.String	ficheroTest Test file name.
protected java.lang.String	ficheroTraining Training file name.
protected int	nEntradas Number of inputs.
protected static double[][][]	nominalDistance Nominal distance.
protected int[][]	nominalTest Test Nominal values.
protected int[][]	nominalTrain Training Nominal values.
protected boolean[][]	nulosTest Test Missing values.
protected boolean[][]	nulosTrain Training Missing values.
protected double[][]	realTest Test Real values.
protected double[][]	realTrain Training Real values.
protected java.lang.String	relation Relation string.
protected Attribute	salida Output attribute.
protected static double[]	stdDev Standard deviation.
protected InstanceSet	test Test dataset.
protected InstanceSet	training Training dataset.

Constructor Summary

Constructors

Constructor and Description
Metodo() Default builder
Metodo(java.lang.String ficheroScript) Builder.

Method Summary

Modifier and Type	Method and Description
void	leerConfiguracion(java.lang.String ficheroScript) Reads the parameters of the algorithm.
protected void	normalizar() This function builds the data matrix for reference data and normalizes inputs values

Methods inherited from class java.lang.Object

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

Field Detail

ficheroTraining

protected java.lang.String ficheroTraining

Training file name.

ficheroTest

protected java.lang.String ficheroTest

Test file name.

ficheroSalida

protected java.lang.String[] ficheroSalida

Output files names.

training

protected InstanceSet training

Training dataset.

test

protected InstanceSet test

Test dataset.

entradas

protected Attribute[] entradas

Input attributes.

salida

protected Attribute salida

Output attribute.

nEntradas

protected int nEntradas

Number of inputs.

relation

protected java.lang.String relation

Relation string.

datosTrain

protected double[][] datosTrain

Training input data.

clasesTrain

protected int[] clasesTrain

Training output data.

datosTest

protected double[][] datosTest

Test input data.

clasesTest

protected int[] clasesTest

Test output data.

nulosTrain

protected boolean[][] nulosTrain

Training Missing values.

nominalTrain

protected int[][] nominalTrain

Training Nominal values.

realTrain

protected double[][] realTrain

Training Real values.

nulosTest

protected boolean[][] nulosTest

Test Missing values.

nominalTest

protected int[][] nominalTest

Test Nominal values.

realTest

protected double[][] realTest

Test Real values.

distanceEu

protected boolean distanceEu

Flag type of distance (true = euclidean, false = HVDM).

nominalDistance

protected static double[][][] nominalDistance

Nominal distance.

stdDev

protected static double[] stdDev

Standard deviation.

Constructor Detail

Metodo

public Metodo()

Default builder

Metodo

public Metodo(java.lang.String ficheroScript)

Builder. Creates the basic structures of the algorithm

Parameters:

ficheroScript - Configuration script

Method Detail

normalizar

protected void normalizar()
                   throws CheckException

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

Throws:

CheckException - if dataset do not correspond to a classification problem.

leerConfiguracion

public void leerConfiguracion(java.lang.String ficheroScript)

Reads the parameters of the algorithm. Must be implemented in the subclass.

Parameters:

ficheroScript - Configuration script