Package weka.classifiers
Class IteratedSingleClassifierEnhancer
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.IteratedSingleClassifierEnhancer
- All Implemented Interfaces:
Serializable,Cloneable,CapabilitiesHandler,OptionHandler,RevisionHandler
- Direct Known Subclasses:
AdditiveRegression,RandomizableIteratedSingleClassifierEnhancer
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:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoidbuildClassifier(Instances data) Stump method for building the classifiers.intGets the number of bagging iterationsString[]Gets the current settings of the classifier.Returns an enumeration describing the available options.Returns the tip text for this propertyvoidsetNumIterations(int numIterations) Sets the number of bagging iterationsvoidsetOptions(String[] options) Parses a given list of options.Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, setClassifierMethods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, distributionForInstance, forName, getDebug, getRevision, makeCopies, makeCopy, setDebug
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Constructor Details
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IteratedSingleClassifierEnhancer
public IteratedSingleClassifierEnhancer()
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Method Details
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buildClassifier
Stump method for building the classifiers.- Specified by:
buildClassifierin classClassifier- Parameters:
data- the training data to be used for generating the bagged classifier.- Throws:
Exception- if the classifier could not be built successfully
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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
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.
- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classSingleClassifierEnhancer- Parameters:
options- the list of options as an array of strings- Throws:
Exception- if an option is not supported
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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
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 -
getNumIterations
public int getNumIterations()Gets the number of bagging iterations- Returns:
- the maximum number of bagging iterations
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