/*
* LEDGenerator.java
* Copyright (C) 2007 University of Waikato, Hamilton, New Zealand
* @author Richard Kirkby (rkirkby@cs.waikato.ac.nz)
*
* 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.
*/
package tr.gov.ulakbim.jDenetX.streams.generators;
import tr.gov.ulakbim.jDenetX.core.InstancesHeader;
import tr.gov.ulakbim.jDenetX.core.ObjectRepository;
import tr.gov.ulakbim.jDenetX.options.AbstractOptionHandler;
import tr.gov.ulakbim.jDenetX.options.FlagOption;
import tr.gov.ulakbim.jDenetX.options.IntOption;
import tr.gov.ulakbim.jDenetX.streams.InstanceStream;
import tr.gov.ulakbim.jDenetX.tasks.TaskMonitor;
import weka.core.*;
import java.util.Random;
public class LEDGenerator extends AbstractOptionHandler implements
InstanceStream {
@Override
public String getPurposeString() {
return "Generates a problem of predicting the digit displayed on a 7-segment LED display.";
}
private static final long serialVersionUID = 1L;
public static final int NUM_IRRELEVANT_ATTRIBUTES = 17;
protected static final int originalInstances[][] = {
{1, 1, 1, 0, 1, 1, 1}, {0, 0, 1, 0, 0, 1, 0},
{1, 0, 1, 1, 1, 0, 1}, {1, 0, 1, 1, 0, 1, 1},
{0, 1, 1, 1, 0, 1, 0}, {1, 1, 0, 1, 0, 1, 1},
{1, 1, 0, 1, 1, 1, 1}, {1, 0, 1, 0, 0, 1, 0},
{1, 1, 1, 1, 1, 1, 1}, {1, 1, 1, 1, 0, 1, 1}};
public IntOption instanceRandomSeedOption = new IntOption(
"instanceRandomSeed", 'i',
"Seed for random generation of instances.", 1);
public IntOption noisePercentageOption = new IntOption("noisePercentage",
'n', "Percentage of noise to add to the data.", 10, 0, 100);
public FlagOption suppressIrrelevantAttributesOption = new FlagOption(
"suppressIrrelevantAttributes", 's',
"Reduce the data to only contain 7 relevant binary attributes.");
protected InstancesHeader streamHeader;
protected Random instanceRandom;
@Override
protected void prepareForUseImpl(TaskMonitor monitor,
ObjectRepository repository) {
// generate header
FastVector attributes = new FastVector();
FastVector binaryLabels = new FastVector();
binaryLabels.addElement("0");
binaryLabels.addElement("1");
int numAtts = 7;
if (!this.suppressIrrelevantAttributesOption.isSet()) {
numAtts += NUM_IRRELEVANT_ATTRIBUTES;
}
for (int i = 0; i < numAtts; i++) {
attributes.addElement(new Attribute("att" + (i + 1), binaryLabels));
}
FastVector classLabels = new FastVector();
for (int i = 0; i < 10; i++) {
classLabels.addElement(Integer.toString(i));
}
attributes.addElement(new Attribute("class", classLabels));
this.streamHeader = new InstancesHeader(new Instances(
getCLICreationString(InstanceStream.class), attributes, 0));
this.streamHeader.setClassIndex(this.streamHeader.numAttributes() - 1);
restart();
}
public long estimatedRemainingInstances() {
return -1;
}
public InstancesHeader getHeader() {
return this.streamHeader;
}
public boolean hasMoreInstances() {
return true;
}
public boolean isRestartable() {
return true;
}
public Instance nextInstance() {
InstancesHeader header = getHeader();
Instance inst = new DenseInstance(header.numAttributes());
inst.setDataset(header);
int selected = this.instanceRandom.nextInt(10);
for (int i = 0; i < 7; i++) {
if ((1 + (this.instanceRandom.nextInt(100))) <= this.noisePercentageOption
.getValue()) {
inst.setValue(i, originalInstances[selected][i] == 0 ? 1 : 0);
} else {
inst.setValue(i, originalInstances[selected][i]);
}
}
if (!this.suppressIrrelevantAttributesOption.isSet()) {
for (int i = 0; i < NUM_IRRELEVANT_ATTRIBUTES; i++) {
inst.setValue(i + 7, this.instanceRandom.nextInt(2));
}
}
inst.setClassValue(selected);
return inst;
}
public void restart() {
this.instanceRandom = new Random(this.instanceRandomSeedOption
.getValue());
}
public void getDescription(StringBuilder sb, int indent) {
// TODO Auto-generated method stub
}
}