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Java Source Code / Java Documentation » Science » weka » weka.classifiers.trees

Source Cross Reference

Class Diagram

Java Document (Java Doc)

java.lang .Object

weka.classifiers .Classifier

weka.classifiers.trees .RandomForest

RandomForest

public class RandomForest extends Classifier implements OptionHandler,Randomizable,WeightedInstancesHandler,AdditionalMeasureProducer,TechnicalInformationHandler(Code)

Class for constructing a forest of random trees.

For more information see:

Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.

BibTeX:

 @article{Breiman2001,
 author = {Leo Breiman},
 journal = {Machine Learning},
 number = {1},
 pages = {5-32},
 title = {Random Forests},
 volume = {45},
 year = {2001}
 }

Valid options are:

 -I <number of trees>
 Number of trees to build.

 -K <number of features>
 Number of features to consider (<1=int(logM+1)).

 -S
 Seed for random number generator.
 (default 1)

 -depth <num>
 The maximum depth of the trees, 0 for unlimited.
 (default 0)

 -D
 If set, classifier is run in debug mode and
 may output additional info to the console

author:
Richard Kirkby (rkirkby@cs.waikato.ac.nz)
version:
$Revision: 1.12 $

Field Summary
protected int	m_KValue Final number of features that were considered in last build.
protected int	m_MaxDepth
protected Bagging	m_bagger The bagger.
protected int	m_numFeatures Number of features to consider in random feature selection.
protected int	m_numTrees Number of trees in forest.
protected int	m_randomSeed The random seed.
final static long	serialVersionUID

Method Summary
public void	buildClassifier(Instances data) Builds a classifier for a set of instances.
public double[]	distributionForInstance(Instance instance) Returns the class probability distribution for an instance.
public Enumeration	enumerateMeasures() Returns an enumeration of the additional measure names.
public Capabilities	getCapabilities() Returns default capabilities of the classifier.
public int	getMaxDepth() Get the maximum depth of trh tree, 0 for unlimited.
public double	getMeasure(String additionalMeasureName) Returns the value of the named measure.
public int	getNumFeatures() Get the number of features used in random selection.
public int	getNumTrees() Get the value of numTrees.
public String[]	getOptions() Gets the current settings of the forest.
public int	getSeed()
public TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
public String	globalInfo()
public Enumeration	listOptions() Returns an enumeration describing the available options.
public static void	main(String[] argv) Main method for this class.
public String	maxDepthTipText()
public double	measureOutOfBagError() Gets the out of bag error that was calculated as the classifier was built.
public String	numFeaturesTipText()
public String	numTreesTipText()
public String	seedTipText()
public void	setMaxDepth(int value) Set the maximum depth of the tree, 0 for unlimited.
public void	setNumFeatures(int newNumFeatures) Set the number of features to use in random selection.
public void	setNumTrees(int newNumTrees) Set the value of numTrees.
public void	setOptions(String[] options) Parses a given list of options.
public void	setSeed(int seed) Set the seed for random number generation.
public String	toString() Outputs a description of this classifier.

Field Detail

m_KValue
protected int m_KValue(Code)
	Final number of features that were considered in last build.

m_MaxDepth
protected int m_MaxDepth(Code)
	The maximum depth of the trees (0 = unlimited)

m_bagger
protected Bagging m_bagger(Code)
	The bagger.

m_numFeatures
protected int m_numFeatures(Code)
	Number of features to consider in random feature selection. If less than 1 will use int(logM+1) )

m_numTrees
protected int m_numTrees(Code)
	Number of trees in forest.

m_randomSeed
protected int m_randomSeed(Code)
	The random seed.

serialVersionUID
final static long serialVersionUID(Code)
	for serialization

Method Detail

buildClassifier
public void buildClassifier(Instances data) throws Exception(Code)
	Builds a classifier for a set of instances. Parameters: data - the instances to train the classifier with throws: Exception - if something goes wrong

distributionForInstance
public double[] distributionForInstance(Instance instance) throws Exception(Code)
	Returns the class probability distribution for an instance. Parameters: instance - the instance to be classified the distribution the forest generates for the instance throws: Exception - if computation fails

enumerateMeasures
public Enumeration enumerateMeasures()(Code)
	Returns an enumeration of the additional measure names. an enumeration of the measure names

getCapabilities
public Capabilities getCapabilities()(Code)
	Returns default capabilities of the classifier. the capabilities of this classifier

getMaxDepth
public int getMaxDepth()(Code)
	Get the maximum depth of trh tree, 0 for unlimited. the maximum depth.

getMeasure
public double getMeasure(String additionalMeasureName)(Code)
	Returns the value of the named measure. Parameters: additionalMeasureName - the name of the measure to query for its value the value of the named measure throws: IllegalArgumentException - if the named measure is not supported

getNumFeatures
public int getNumFeatures()(Code)
	Get the number of features used in random selection. Value of numFeatures.

getNumTrees
public int getNumTrees()(Code)
	Get the value of numTrees. Value of numTrees.

getOptions
public String[] getOptions()(Code)
	Gets the current settings of the forest. an array of strings suitable for passing to setOptions()

getSeed
public int getSeed()(Code)
	Gets the seed for the random number generations the seed for the random number generation

getTechnicalInformation
public TechnicalInformation getTechnicalInformation()(Code)
	Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. the technical information about this class

globalInfo
public String globalInfo()(Code)
	Returns a string describing classifier a description suitable fordisplaying in the explorer/experimenter gui

listOptions
public Enumeration listOptions()(Code)
	Returns an enumeration describing the available options. an enumeration of all the available options

main
public static void main(String[] argv)(Code)
	Main method for this class. Parameters: argv - the options

maxDepthTipText
public String maxDepthTipText()(Code)
	Returns the tip text for this property tip text for this property suitable fordisplaying in the explorer/experimenter gui

measureOutOfBagError
public double measureOutOfBagError()(Code)
	Gets the out of bag error that was calculated as the classifier was built. the out of bag error

numFeaturesTipText
public String numFeaturesTipText()(Code)
	Returns the tip text for this property tip text for this property suitable fordisplaying in the explorer/experimenter gui

numTreesTipText
public String numTreesTipText()(Code)
	Returns the tip text for this property tip text for this property suitable fordisplaying in the explorer/experimenter gui

seedTipText
public String seedTipText()(Code)
	Returns the tip text for this property tip text for this property suitable fordisplaying in the explorer/experimenter gui

setMaxDepth
public void setMaxDepth(int value)(Code)
	Set the maximum depth of the tree, 0 for unlimited. Parameters: value - the maximum depth.

setNumFeatures
public void setNumFeatures(int newNumFeatures)(Code)
	Set the number of features to use in random selection. Parameters: newNumFeatures - Value to assign to numFeatures.

setNumTrees
public void setNumTrees(int newNumTrees)(Code)
	Set the value of numTrees. Parameters: newNumTrees - Value to assign to numTrees.

setOptions

public void setOptions(String[] options) throws Exception(Code)

Parses a given list of options.

Valid options are:

 -I <number of trees>
 Number of trees to build.

 -K <number of features>
 Number of features to consider (<1=int(logM+1)).

 -S
 Seed for random number generator.
 (default 1)

 -depth <num>
 The maximum depth of the trees, 0 for unlimited.
 (default 0)

 -D
 If set, classifier is run in debug mode and
 may output additional info to the console

Parameters:
options - the list of options as an array of strings
throws:
Exception - if an option is not supported

setSeed
public void setSeed(int seed)(Code)
	Set the seed for random number generation. Parameters: seed - the seed

toString
public String toString()(Code)
	Outputs a description of this classifier. a string containing a description of the classifier

Fields inherited from weka.classifiers.Classifier

protected boolean m_Debug(Code)(Java Doc)

Methods inherited from weka.classifiers.Classifier

abstract public void buildClassifier(Instances data) throws Exception(Code)(Java Doc)
public double classifyInstance(Instance instance) throws Exception(Code)(Java Doc)
public String debugTipText()(Code)(Java Doc)
public double[] distributionForInstance(Instance instance) throws Exception(Code)(Java Doc)
public static Classifier forName(String classifierName, String[] options) throws Exception(Code)(Java Doc)
public Capabilities getCapabilities()(Code)(Java Doc)
public boolean getDebug()(Code)(Java Doc)
public String[] getOptions()(Code)(Java Doc)
public Enumeration listOptions()(Code)(Java Doc)
public static Classifier[] makeCopies(Classifier model, int num) throws Exception(Code)(Java Doc)
public static Classifier makeCopy(Classifier model) throws Exception(Code)(Java Doc)
protected static void runClassifier(Classifier classifier, String[] options)(Code)(Java Doc)
public void setDebug(boolean debug)(Code)(Java Doc)
public void setOptions(String[] options) throws Exception(Code)(Java Doc)

Methods inherited from java.lang.Object

native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc)
public boolean equals(Object obj)(Code)(Java Doc)
protected void finalize() throws Throwable(Code)(Java Doc)
final native public Class getClass()(Code)(Java Doc)
native public int hashCode()(Code)(Java Doc)
final native public void notify()(Code)(Java Doc)
final native public void notifyAll()(Code)(Java Doc)
public String toString()(Code)(Java Doc)
final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc)
final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc)
final public void wait() throws InterruptedException(Code)(Java Doc)

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