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Massive On-line Analysis is an environment for massive data mining. MOA
provides a framework for data stream mining and includes tools for evaluation
and a collection of machine learning algorithms. Related to the WEKA project,
also written in Java, while scaling to more demanding problems.
/*
* ConceptDriftStream.java
* Copyright (C) 2008 University of Waikato, Hamilton, New Zealand
* @author Albert Bifet (abifet at cs dot waikato dot ac dot 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 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 .
*
*/
package moa.streams;
import java.util.Random;
import moa.core.Example;
import com.yahoo.labs.samoa.instances.InstancesHeader;
import moa.core.ObjectRepository;
import moa.options.AbstractOptionHandler;
import moa.options.ClassOption;
import com.github.javacliparser.FloatOption;
import com.github.javacliparser.IntOption;
import moa.tasks.TaskMonitor;
/**
* Stream generator that adds concept drift to examples in a stream.
*
* Example:
*
* ConceptDriftStream -s (generators.AgrawalGenerator -f 7)
* -d (generators.AgrawalGenerator -f 2) -w 1000000 -p 900000
*
* s : Stream
* d : Concept drift Stream
* p : Central position of concept drift change
* w : Width of concept drift change
*
* @author Albert Bifet (abifet at cs dot waikato dot ac dot nz)
* @version $Revision: 7 $
*/
public class ConceptDriftStream extends AbstractOptionHandler implements
InstanceStream {
@Override
public String getPurposeString() {
return "Adds Concept Drift to examples in a stream.";
}
private static final long serialVersionUID = 1L;
public ClassOption streamOption = new ClassOption("stream", 's',
"Stream to add concept drift.", ExampleStream.class,
"generators.RandomTreeGenerator");
public ClassOption driftstreamOption = new ClassOption("driftstream", 'd',
"Concept drift Stream.", ExampleStream.class,
"generators.RandomTreeGenerator");
public FloatOption alphaOption = new FloatOption("alpha",
'a', "Angle alpha of change grade.", 0.0, 0.0, 90.0);
public IntOption positionOption = new IntOption("position",
'p', "Central position of concept drift change.", 0);
public IntOption widthOption = new IntOption("width",
'w', "Width of concept drift change.", 1000);
public IntOption randomSeedOption = new IntOption("randomSeed", 'r',
"Seed for random noise.", 1);
protected ExampleStream inputStream;
protected ExampleStream driftStream;
protected Random random;
protected int numberInstanceStream;
@Override
public void prepareForUseImpl(TaskMonitor monitor,
ObjectRepository repository) {
this.inputStream = (ExampleStream) getPreparedClassOption(this.streamOption);
this.driftStream = (ExampleStream) getPreparedClassOption(this.driftstreamOption);
this.random = new Random(this.randomSeedOption.getValue());
numberInstanceStream = 0;
if (this.alphaOption.getValue() != 0.0) {
this.widthOption.setValue((int) (1 / Math.tan(this.alphaOption.getValue() * Math.PI / 180)));
}
}
@Override
public long estimatedRemainingInstances() {
return this.inputStream.estimatedRemainingInstances() + this.driftStream.estimatedRemainingInstances();
}
@Override
public InstancesHeader getHeader() {
return this.inputStream.getHeader();
}
@Override
public boolean hasMoreInstances() {
return (this.inputStream.hasMoreInstances() || this.driftStream.hasMoreInstances());
}
@Override
public boolean isRestartable() {
return (this.inputStream.isRestartable() && this.driftStream.isRestartable());
}
@Override
public Example nextInstance() {
numberInstanceStream++;
double x = -4.0 * (double) (numberInstanceStream - this.positionOption.getValue()) / (double) this.widthOption.getValue();
double probabilityDrift = 1.0 / (1.0 + Math.exp(x));
if (this.random.nextDouble() > probabilityDrift) {
return this.inputStream.nextInstance();
} else {
return this.driftStream.nextInstance();
}
}
@Override
public void restart() {
this.inputStream.restart();
this.driftStream.restart();
numberInstanceStream = 0;
}
@Override
public void getDescription(StringBuilder sb, int indent) {
// TODO Auto-generated method stub
}
}
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