Package weka.classifiers
Class IteratedSingleClassifierEnhancer
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.SingleClassifierEnhancer
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- weka.classifiers.IteratedSingleClassifierEnhancer
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- All Implemented Interfaces:
java.io.Serializable,java.lang.Cloneable,CapabilitiesHandler,OptionHandler,RevisionHandler
- Direct Known Subclasses:
AdditiveRegression,RandomizableIteratedSingleClassifierEnhancer
public abstract class IteratedSingleClassifierEnhancer extends SingleClassifierEnhancer
Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.- Version:
- $Revision: 1.4 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description IteratedSingleClassifierEnhancer()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voidbuildClassifier(Instances data)Stump method for building the classifiers.intgetNumIterations()Gets the number of bagging iterationsjava.lang.String[]getOptions()Gets the current settings of the classifier.java.util.EnumerationlistOptions()Returns an enumeration describing the available options.java.lang.StringnumIterationsTipText()Returns the tip text for this propertyvoidsetNumIterations(int numIterations)Sets the number of bagging iterationsvoidsetOptions(java.lang.String[] options)Parses a given list of options.-
Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, setClassifier
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Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, distributionForInstance, forName, getDebug, getRevision, makeCopies, makeCopy, setDebug
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Method Detail
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buildClassifier
public void buildClassifier(Instances data) throws java.lang.Exception
Stump method for building the classifiers.- Specified by:
buildClassifierin classClassifier- Parameters:
data- the training data to be used for generating the bagged classifier.- Throws:
java.lang.Exception- if the classifier could not be built successfully
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin classSingleClassifierEnhancer- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.ExceptionParses 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.
- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classSingleClassifierEnhancer- Parameters:
options- the list of options as an array of strings- Throws:
java.lang.Exception- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the classifier.- Specified by:
getOptionsin interfaceOptionHandler- Overrides:
getOptionsin classSingleClassifierEnhancer- Returns:
- an array of strings suitable for passing to setOptions
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numIterationsTipText
public java.lang.String numIterationsTipText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setNumIterations
public void setNumIterations(int numIterations)
Sets the number of bagging iterations
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getNumIterations
public int getNumIterations()
Gets the number of bagging iterations- Returns:
- the maximum number of bagging iterations
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