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

Source Cross Reference

Class Diagram

Java Document (Java Doc)

java.lang .Object

weka.classifiers .Classifier

weka.classifiers .SingleClassifierEnhancer

weka.classifiers .IteratedSingleClassifierEnhancer

All known Subclasses:   weka.classifiers .RandomizableIteratedSingleClassifierEnhancer,  weka.classifiers.meta .AdditiveRegression,
IteratedSingleClassifierEnhancer
abstract public class IteratedSingleClassifierEnhancer extends SingleClassifierEnhancer (Code)
Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.
author:
   Eibe Frank (eibe@cs.waikato.ac.nz)
version:
   $Revision: 1.4 $

Field Summary
protected Classifier[] m_Classifiers
     Array for storing the generated base classifiers.
protected int m_NumIterations
     The number of iterations.

Method Summary
public void buildClassifier(Instances data)
     Stump method for building the classifiers.
public int getNumIterations()

public String[] getOptions()
     Gets the current settings of the classifier.
public Enumeration listOptions()
     Returns an enumeration describing the available options.
public String numIterationsTipText()

public void setNumIterations(int numIterations)

public void setOptions(String[] options)
     Parses a given list of options.

Field Detail
m_Classifiers
protected Classifier[] m_Classifiers(Code)
Array for storing the generated base classifiers.

m_NumIterations
protected int m_NumIterations(Code)
The number of iterations.

Method Detail
buildClassifier
public void buildClassifier(Instances data) throws Exception(Code)
Stump method for building the classifiers.
Parameters:
  data - the training data to be used for generating thebagged classifier.
exception:
  Exception - if the classifier could not be built successfully

getNumIterations
public int getNumIterations()(Code)
Gets the number of bagging iterations the maximum number of bagging iterations

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

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

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

setNumIterations
public void setNumIterations(int numIterations)(Code)
Sets the number of bagging iterations

setOptions
public void setOptions(String[] options) throws Exception(Code)
Parses a given list of options. Valid options are:
-W classname
Specify the full class name of the base learner.
-I num
Set the number of iterations (default 10).
Options after -- are passed to the designated classifier.

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

Fields inherited from weka.classifiers.SingleClassifierEnhancer
protected Classifier m_Classifier(Code)(Java Doc)

Methods inherited from weka.classifiers.SingleClassifierEnhancer
public String classifierTipText()(Code)(Java Doc)
protected String defaultClassifierString()(Code)(Java Doc)
public Capabilities getCapabilities()(Code)(Java Doc)
public Classifier getClassifier()(Code)(Java Doc)
protected String getClassifierSpec()(Code)(Java Doc)
public String[] getOptions()(Code)(Java Doc)
public Enumeration listOptions()(Code)(Java Doc)
public void setClassifier(Classifier newClassifier)(Code)(Java Doc)
public void setOptions(String[] options) throws Exception(Code)(Java Doc)

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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