/*
* 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.
*/
/*
* NumericToBinary.java
* Copyright (C) 1999 Eibe Frank
*
*/
package weka.filters.unsupervised.attribute;
import weka.filters.*;
import java.io.*;
import java.util.*;
import weka.core.*;
/**
* Converts all numeric attributes into binary attributes (apart from
* the class attribute): if the value of the numeric attribute is
* exactly zero, the value of the new attribute will be zero. If the
* value of the numeric attribute is missing, the value of the new
* attribute will be missing. Otherwise, the value of the new
* attribute will be one. The new attributes will nominal.<p>
*
* @author Eibe Frank (eibe@cs.waikato.ac.nz)
* @version $Revision: 1.1.1.1 $
*/
public class NumericToBinary extends Filter
implements UnsupervisedFilter, StreamableFilter {
/**
* Sets the format of the input instances.
*
* @param instanceInfo an Instances object containing the input
* instance structure (any instances contained in the object are
* ignored - only the structure is required).
* @return true if the outputFormat may be collected immediately
* @exception Exception if the input format can't be set
* successfully
*/
public boolean setInputFormat(Instances instanceInfo) throws Exception {
super.setInputFormat(instanceInfo);
setOutputFormat();
return true;
}
/**
* Input an instance for filtering.
*
* @param instance the input instance
* @return true if the filtered instance may now be
* collected with output().
* @exception IllegalStateException if no input format has been defined.
*/
public boolean input(Instance instance) {
if (getInputFormat() == null) {
throw new IllegalStateException("No input instance format defined");
}
if (m_NewBatch) {
resetQueue();
m_NewBatch = false;
}
convertInstance(instance);
return true;
}
/**
* Set the output format.
*/
private void setOutputFormat() {
FastVector newAtts;
int newClassIndex;
StringBuffer attributeName;
Instances outputFormat;
FastVector vals;
// Compute new attributes
newClassIndex = getInputFormat().classIndex();
newAtts = new FastVector();
for (int j = 0; j < getInputFormat().numAttributes(); j++) {
Attribute att = getInputFormat().attribute(j);
if ((j == newClassIndex) || (!att.isNumeric())) {
newAtts.addElement(att.copy());
} else {
attributeName = new StringBuffer(att.name() + "_binarized");
vals = new FastVector(2);
vals.addElement("0"); vals.addElement("1");
newAtts.addElement(new Attribute(attributeName.toString(), vals));
}
}
outputFormat = new Instances(getInputFormat().relationName(), newAtts, 0);
outputFormat.setClassIndex(newClassIndex);
setOutputFormat(outputFormat);
}
/**
* Convert a single instance over. The converted instance is
* added to the end of the output queue.
*
* @param instance the instance to convert
*/
private void convertInstance(Instance instance) {
Instance inst = null;
if (instance instanceof SparseInstance) {
double[] vals = new double[instance.numValues()];
int[] newIndices = new int[instance.numValues()];
for (int j = 0; j < instance.numValues(); j++) {
Attribute att = getInputFormat().attribute(instance.index(j));
if ((!att.isNumeric()) || (instance.index(j) == getInputFormat().classIndex())) {
vals[j] = instance.valueSparse(j);
} else {
if (instance.isMissingSparse(j)) {
vals[j] = instance.valueSparse(j);
} else {
vals[j] = 1;
}
}
newIndices[j] = instance.index(j);
}
inst = new SparseInstance(instance.weight(), vals, newIndices,
outputFormatPeek().numAttributes());
} else {
double[] vals = new double[outputFormatPeek().numAttributes()];
for (int j = 0; j < getInputFormat().numAttributes(); j++) {
Attribute att = getInputFormat().attribute(j);
if ((!att.isNumeric()) || (j == getInputFormat().classIndex())) {
vals[j] = instance.value(j);
} else {
if (instance.isMissing(j) || (instance.value(j) == 0)) {
vals[j] = instance.value(j);
} else {
vals[j] = 1;
}
}
}
inst = new Instance(instance.weight(), vals);
}
inst.setDataset(instance.dataset());
push(inst);
}
/**
* Main method for testing this class.
*
* @param argv should contain arguments to the filter:
* use -h for help
*/
public static void main(String [] argv) {
try {
if (Utils.getFlag('b', argv)) {
Filter.batchFilterFile(new NumericToBinary(), argv);
} else {
Filter.filterFile(new NumericToBinary(), argv);
}
} catch (Exception ex) {
System.out.println(ex.getMessage());
}
}
}