/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/**
* <p>
* @author Written by Luciano Sanchez (University of Oviedo) 01/01/2004
* @author Modified by Jose Otero (University of Oviedo) 01/12/2008
* @version 1.0
* @since JDK1.5
* </p>
*/
package keel.Algorithms.Statistical_Tests.Regression.ModelTest_f;
import keel.Algorithms.Statistical_Tests.Shared.*;
import keel.Algorithms.Shared.Parsing.*;
import org.core.*;
public class ModelTest_f {
/**
* <p>
* This class has only a main method that calls f test for regression problems, defined in StatTest
* </p>
*/
static Randomize rand;
/**
* <p>
* This method reads a configuration file and calls statisticalTest with appropriate values to run the
* f test for regression problems, defined in StatTest class
* @param args A string that contains the command line arguments
* </p>
*/
public static void main(String args[]) {
boolean tty=false;
ProcessConfig pc=new ProcessConfig();
System.out.println("Reading configuration file: "+args[0]);
if (pc.fileProcess(args[0])<0) return;
int algorithm=pc.parAlgorithmType;
rand=new Randomize();
rand.setSeed(pc.parSeed);
ParseFileList pl=new ParseFileList();
pl.statisticalTest(StatTest.fM,tty,pc);
}
}