keel.Algorithms.Genetic_Rule_Learning.SIA

Class SIA

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.SIA.SIA

public class SIA
extends java.lang.Object

Title: Main class of the algorithm

Description: It contains the esential methods for the SIA algorithm

Copyright: Copyright (c) 2004

Company: KEEL

Since:

JDK1.5

Version:

1.8

Author:

Alberto Fernández (University of Granada) 23/02/2005

Constructor Summary

Constructors

Constructor and Description
SIA() Default Builder
SIA(java.lang.String ftrain, java.lang.String feval, java.lang.String ftest, java.lang.String fSalidatr, java.lang.String fSalidatst, java.lang.String fsal, long seed, int nb, double alfa, double beta, double Tstr) Builder of the class SIA It carries out a local copy of the name of the files for their posterior use Then, obtains the data from the input files and stores it in a structure for the program Finally, it creates the possible bounds for the attribute values

Method Summary

Modifier and Type	Method and Description
void	lanzar() We execute here the main SIA algorithm and then we creat the output files

Methods inherited from class java.lang.Object

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

Constructor Detail

SIA

public SIA()

Default Builder

SIA

public SIA(java.lang.String ftrain,
           java.lang.String feval,
           java.lang.String ftest,
           java.lang.String fSalidatr,
           java.lang.String fSalidatst,
           java.lang.String fsal,
           long seed,
           int nb,
           double alfa,
           double beta,
           double Tstr)

Builder of the class SIA It carries out a local copy of the name of the files for their posterior use
Then, obtains the data from the input files and stores it in a structure for the program
Finally, it creates the possible bounds for the attribute values

Parameters:

ftrain - Name of the input training data-set

feval - Name of the input validation data-set

ftest - Name of the input test data-set

fSalidatr - Name of the output training data-set

fSalidatst - Name of the output test data-set

fsal - Name of the oupput statistics file

seed - seed for the random generator

nb - Maximum number of iterations of the genetic algorithm

alfa - parameter for the criterium of the rule evaluation

beta - parameter for the criterium of the rule evaluation

Tstr - Threshold for the rule filtering

Method Detail

lanzar

public void lanzar()

We execute here the main SIA algorithm and then we creat the output files