/*
* 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 2 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, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* RemoveTest.java
* Copyright (C) 2009 University of Waikato, Hamilton, New Zealand
*/
package wekaexamples.filters;
import weka.core.Instances;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.Remove;
import java.io.BufferedReader;
import java.io.FileReader;
/**
* Example class to demonstrate the use of the Remove filter.
* <p/>
* Takes an ARFF file as first argument, the number of indices to remove
* as second and thirdly whether to invert or not (true/false).
* Dumps the generated data to stdout.
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision: 5881 $
*/
public class RemoveTest {
public static void main(String[] args) throws Exception {
Instances inst;
Instances instNew;
Remove remove;
inst = new Instances(new BufferedReader(new FileReader(args[0])));
remove = new Remove();
remove.setAttributeIndices(args[1]);
remove.setInvertSelection(new Boolean(args[2]).booleanValue());
remove.setInputFormat(inst);
instNew = Filter.useFilter(inst, remove);
System.out.println(instNew);
}
}