weka.classifiers.trees
Class RandomModelTrees

java.lang.Object
  weka.classifiers.AbstractClassifier
      weka.classifiers.RandomizableClassifier
          weka.classifiers.trees.RandomModelTrees

All Implemented Interfaces:

Serializable, Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.WeightedInstancesHandler

public class RandomModelTrees
extends weka.classifiers.RandomizableClassifier
implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler

Version:

$Revision: 4521 $

Author:

Bernhard Pfahringer (bernhard@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

protected weka.core.Instances	m_data
protected int	m_max
protected weka.classifiers.trees.Node[]	m_node
protected int	m_numIterations The number of iterations.
protected int	m_numTrials
protected double	m_ridge

Fields inherited from class weka.classifiers.RandomizableClassifier

m_Seed

Fields inherited from class weka.classifiers.AbstractClassifier

m_Debug

Constructor Summary

RandomModelTrees()

Method Summary

void	buildClassifier(weka.core.Instances data)
double	classifyInstance(weka.core.Instance instance) Calculates the class membership probabilities for the given test instance.
weka.core.Capabilities	getCapabilities() Returns default capabilities of the classifier.
Comparator<weka.core.Instance>[]	getComparators(int k)
int	getMax()
int	getNumIterations() Gets the number of iterations.
String[]	getOptions() Gets the current settings of the Classifier.
String	getRevision()
double	getRidge()
int	getTrials()
String	globalInfo() Returns a string describing classifier.
Enumeration	listOptions() Returns an enumeration describing the available options.
static void	main(String[] argv) Main method for testing this class.
String	maxTipText() Returns the tip text for this property.
String	numIterationsTipText() Returns the tip text for this property.
String	ridgeTipText() Returns the tip text for this property.
void	setMax(int n)
void	setNumIterations(int numIterations) Sets the number of iterations.
void	setOptions(String[] options) Parses a given list of options.
void	setRidge(double c)
void	setTrials(int n)
String	toString()
String	toStringOLD() Returns description of the bagged classifier.
String	trialsTipText() Returns the tip text for this property.

Methods inherited from class weka.classifiers.RandomizableClassifier

getSeed, seedTipText, setSeed

Methods inherited from class weka.classifiers.AbstractClassifier

debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

m_node

protected weka.classifiers.trees.Node[] m_node

m_numIterations

protected int m_numIterations

The number of iterations.

m_max

protected int m_max

m_data

protected weka.core.Instances m_data

m_numTrials

protected int m_numTrials

m_ridge

protected double m_ridge

Constructor Detail

RandomModelTrees

public RandomModelTrees()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing classifier.

Returns:

a description suitable for displaying in the explorer/experimenter gui

listOptions

public Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.RandomizableClassifier

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Parses a given list of options.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.RandomizableClassifier

Parameters:

options - the list of options as an array of strings

Throws:

Exception - if an option is not supported

getOptions

public String[] getOptions()

Gets the current settings of the Classifier.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.RandomizableClassifier

Returns:

an array of strings suitable for passing to setOptions

getTrials

public int getTrials()

setTrials

public void setTrials(int n)

trialsTipText

public String trialsTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getRidge

public double getRidge()

setRidge

public void setRidge(double c)

ridgeTipText

public String ridgeTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setNumIterations

public void setNumIterations(int numIterations)

Sets the number of iterations.

getNumIterations

public int getNumIterations()

Gets the number of iterations.

Returns:

the maximum number of iterations

numIterationsTipText

public String numIterationsTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getMax

public int getMax()

setMax

public void setMax(int n)

maxTipText

public String maxTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getCapabilities

public weka.core.Capabilities getCapabilities()

Returns default capabilities of the classifier.

Specified by:

getCapabilities in interface weka.classifiers.Classifier

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Overrides:

getCapabilities in class weka.classifiers.AbstractClassifier

Returns:

the capabilities of this classifier

buildClassifier

public void buildClassifier(weka.core.Instances data)
                     throws Exception

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Parameters:

data - the training data to be used for generating the

Throws:

Exception - if the classifier could not be built successfully

getComparators

public Comparator<weka.core.Instance>[] getComparators(int k)

classifyInstance

public double classifyInstance(weka.core.Instance instance)
                        throws Exception

Calculates the class membership probabilities for the given test instance.

Specified by:

classifyInstance in interface weka.classifiers.Classifier

Overrides:

classifyInstance in class weka.classifiers.AbstractClassifier

Parameters:

instance - the instance to be classified

Returns:

preedicted class probability distribution

Throws:

Exception - if distribution can't be computed successfully

toStringOLD

public String toStringOLD()

Returns description of the bagged classifier.

Returns:

description of the bagged classifier as a string

toString

public String toString()

Overrides:

toString in class Object

getRevision

public String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.classifiers.AbstractClassifier

main

public static void main(String[] argv)

Main method for testing this class.

Parameters:

argv - the options