keel.Algorithms.Decision_Trees.DT_GA

Class DT_GA

java.lang.Object

keel.Algorithms.Decision_Trees.DT_GA.DT_GA

public class DT_GA
extends java.lang.Object

Description: It contains the implementation of the algorithm DT_GA.

Company: KEEL

Version:

1.0

Author:

Alberto Fernández

Field Summary

Fields

Modifier and Type	Field and Description
static int	GA_LARGE_SN Number to represent type of GA used (Large_SN scheme).
static int	GA_SMALL Number to represent type of GA used (Small scheme).

Constructor Summary

Constructors

Constructor and Description
DT_GA() Default constructor
DT_GA(parseParameters parameters) It reads the data from the input files (training, validation and test) and parse all the parameters from the parameters array.

Method Summary

Modifier and Type	Method and Description
void	escribeSalidas(double accTr, double accTst) Writes all the output files, including statistics and the generated rules for the model.
void	execute() It launches the algorithm

Methods inherited from class java.lang.Object

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

Field Detail

GA_SMALL

public static int GA_SMALL

Number to represent type of GA used (Small scheme).

GA_LARGE_SN

public static int GA_LARGE_SN

Number to represent type of GA used (Large_SN scheme).

Constructor Detail

DT_GA

public DT_GA()

Default constructor

DT_GA

public DT_GA(parseParameters parameters)

It reads the data from the input files (training, validation and test) and parse all the parameters from the parameters array.

Parameters:

parameters - parseParameters It contains the input files, output files and parameters

Method Detail

execute

public void execute()

It launches the algorithm

escribeSalidas

public void escribeSalidas(double accTr,
                           double accTst)

Writes all the output files, including statistics and the generated rules for the model.

Parameters:

accTr - Accuracy for the training dataset.

accTst - Accuracy for the test dataset.