/*
* 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.
*/
/*
* RemoveAllLabels.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.transformations;
import mulan.data.MultiLabelInstances;
import mulan.data.DataUtils;
import weka.core.Instance;
import weka.core.Instances;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.Remove;
/**
*
* @author Stavros Mpakirtzoglou
* @author Grigorios Tsoumakas
*/
public class RemoveAllLabels {
public static Instances transformInstances(MultiLabelInstances mlData) throws Exception {
Instances result;
result = transformInstances(mlData.getDataSet(), mlData.getLabelIndices());
return result;
}
public static Instances transformInstances(Instances dataSet, int[] labelIndices) throws Exception {
Remove remove = new Remove();
remove.setAttributeIndicesArray(labelIndices);
remove.setInputFormat(dataSet);
Instances result = Filter.useFilter(dataSet, remove);
return result;
}
public static Instance transformInstance(Instance instance, int[] labelIndices) {
double[] oldValues = instance.toDoubleArray();
double[] newValues = new double[oldValues.length - labelIndices.length];
int counter1 = 0;
int counter2 = 0;
for (int i = 0; i < oldValues.length; i++) {
if (counter1 < labelIndices.length)
if (i == labelIndices[counter1]) {
counter1++;
continue;
}
newValues[counter2] = oldValues[i];
counter2++;
}
return DataUtils.createInstance(instance, instance.weight(), newValues);
}
/*
public static Instance transformInstance(Instance instance, int[] labelIndices) throws Exception
{
Remove remove = new Remove();
remove.setAttributeIndicesArray(labelIndices);
remove.setInputFormat(instance.dataset());
remove.input(instance);
remove.batchFinished();
return remove.output();
}*/
}