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 void
buildClassifier(Instances data)
Stump method for building the classifiers.int
getNumIterations()
Gets the number of bagging iterationsjava.lang.String[]
getOptions()
Gets the current settings of the classifier.java.util.Enumeration
listOptions()
Returns an enumeration describing the available options.java.lang.String
numIterationsTipText()
Returns the tip text for this propertyvoid
setNumIterations(int numIterations)
Sets the number of bagging iterationsvoid
setOptions(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:
buildClassifier
in 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:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classSingleClassifierEnhancer
- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
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:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in 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:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in 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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