/*
* 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.
*/
/*
* RandomizableDistributionGenerator.java
* Copyright (C) 2008 University of Waikato, Hamilton, New Zealand
*/
package weka.classifiers.meta.generators;
import weka.core.Option;
import weka.core.Utils;
import java.util.Enumeration;
import java.util.Vector;
/**
* An abstract superclass for randomizable generators that make use of
* mean and standard deviation.
*
* @author fracpete (fracpet at waikato dot ac dot nz)
* @version $Revision: 5793 $
*/
public abstract class RandomizableDistributionGenerator
extends RandomizableGenerator
implements Mean {
/** for serialization. */
private static final long serialVersionUID = 955762136858704289L;
/** The mean of the underlying distribution. */
protected double m_Mean = 0.0;
/** The standard deviation of the underlying distribution. */
protected double m_StandardDeviation = 1.0;
/**
* Returns an enumeration describing the available options.
*
* @return an enumeration of all the available options.
*/
public Enumeration listOptions() {
Vector result = new Vector();
Enumeration enu = super.listOptions();
while (enu.hasMoreElements())
result.addElement(enu.nextElement());
result.addElement(new Option(
"\tSets the mean of the generator\n"
+ "\t(default: 0)",
"M", 1, "-M <num>"));
result.addElement(new Option(
"\tSets the standard deviation of the generator\n"
+ "\t(default: 1)",
"SD", 1, "-SD <num>"));
return result.elements();
}
/**
* Parses a given list of options.
*
* @param options the list of options as an array of strings
* @throws Exception if an option is not supported
*/
public void setOptions(String[] options) throws Exception {
String tmpStr;
super.setOptions(options);
tmpStr = Utils.getOption("M", options);
if (tmpStr.length() != 0)
setMean(Double.parseDouble(tmpStr));
else
setMean(0.0);
tmpStr = Utils.getOption("SD", options);
if (tmpStr.length() != 0)
setStandardDeviation(Double.parseDouble(tmpStr));
else
setStandardDeviation(1);
}
/**
* Gets the current settings of the generator.
*
* @return an array of strings suitable for passing to setOptions
*/
public String[] getOptions() {
Vector<String> result;
String[] options;
int i;
result = new Vector<String>();
options = super.getOptions();
for (i = 0; i < options.length; i++)
result.add(options[i]);
result.add("-M");
result.add("" + m_Mean);
result.add("-SD");
result.add("" + m_StandardDeviation);
return result.toArray(new String[result.size()]);
}
/**
* Gets the current mean of the underlying Gaussian
* distribution.
*
* @return The current mean of the Gaussian distribution.
*/
public double getMean() {
return m_Mean;
}
/**
* Sets the mean of the Gaussian distribution to a new
* mean.
*
* @param value The new mean for the distribution.
*/
public void setMean(double value) {
m_Mean = value;
}
/**
* Returns the tip text for this property.
*
* @return tip text for this property suitable for
* displaying in the explorer/experimenter gui
*/
public String meanTipText() {
return "The mean of the underlying distribution.";
}
/**
* Gets the current standard deviation of the underlying distribution.
*
* @return The current standard deviation of the distribution.
*/
public double getStandardDeviation() {
return m_StandardDeviation;
}
/**
* Sets the standard deviation of the distribution to a new value.
*
* @param value The new standard deviation.
*/
public void setStandardDeviation(double value) {
if (value > 0)
m_StandardDeviation = value;
else
m_StandardDeviation = 0.01;
}
/**
* Returns the tip text for this property.
*
* @return tip text for this property suitable for
* displaying in the explorer/experimenter gui
*/
public String standardDeviationTipText() {
return "The standard deviation of the underlying distribution.";
}
}