/***********************************************************************
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/
**********************************************************************/
package keel.Algorithms.Genetic_Rule_Learning.olexGA;
import keel.Dataset.Attribute;
import keel.Dataset.Attributes;
import keel.Dataset.DatasetException;
/**
* Class to check if dataset is correct
*
* <p>
* @author Written by Cristobal Romero (Universidad de C�rdoba) 10/10/2007
* @version 0.1
* @since JDK 1.5
*</p>
*/
public class DatasetChecker {
public static boolean checkUniqueOutput(Dataset ds) {
return (Attributes.getOutputAttributes().length != 1 ? false : true);
}
public static boolean checkClassType(Dataset ds) {
return (Attributes.getOutputAttribute(0).getType() == Attribute.NOMINAL ? true
: false);
}
public static boolean testWithFail(Dataset ds) throws DatasetException {
if (!checkUniqueOutput(ds)) {
return false;
}
if (!checkClassType(ds)) {
return false;
}
return true;
// ds.deleteWithMissingClass();
}
// private static boolean check(Dataset ds) throws DatasetException {
//
// Vector list = ds.attributes;
// for (int at_i = 0; at_i < list.size(); at_i++) {
// OlexGA_Attribute attribute = (OlexGA_Attribute) list
// .get(at_i);
//
// if (attribute.isDiscret())
// if (attribute.getNumNominalValues() != 2) {
// throw new DatasetException(
// "OlexGA supports only binary nominal attributes",
// new Vector());
// }
// String first = attribute.getNominalValue(0);
// String second = attribute.getNominalValue(1);
//
// if ((first.equalsIgnoreCase("T") && second.equalsIgnoreCase("F"))
// || (first.equalsIgnoreCase("F") && second
// .equalsIgnoreCase("T"))
// || (first.equalsIgnoreCase("1") && second
// .equalsIgnoreCase("0"))
// || (first.equalsIgnoreCase("0") && second
// .equalsIgnoreCase("1"))
// || (first.equalsIgnoreCase("true") && second
// .equalsIgnoreCase("false"))
// || (first.equalsIgnoreCase("false") && second
// .equalsIgnoreCase("true"))
// || (first.equalsIgnoreCase("n") && second
// .equalsIgnoreCase("y"))
// || (first.equalsIgnoreCase("y") && second
// .equalsIgnoreCase("n"))
// || (first.equalsIgnoreCase("no") && second
// .equalsIgnoreCase("yes"))
// || (first.equalsIgnoreCase("yes") && second
// .equalsIgnoreCase("no"))) {
// } else {
// throw new DatasetException(
// "Nominal Attribute "
// + attribute.getName()
// + " not supported. \n OlexGA recognizes nominal attributes of the following types: "
// + "{0,1}, {t,f}, {true,false}, {y,n}, {yes,no}",
// new Vector());
// }
//
// }
// return true;
// }
}