Package weka.classifiers
Class IteratedSingleClassifierEnhancer
java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.IteratedSingleClassifierEnhancer
- All Implemented Interfaces:
Serializable
,Cloneable
,Classifier
,BatchPredictor
,CapabilitiesHandler
,CapabilitiesIgnorer
,CommandlineRunnable
,OptionHandler
,RevisionHandler
- Direct Known Subclasses:
AdditiveRegression
,ParallelIteratedSingleClassifierEnhancer
,RandomizableIteratedSingleClassifierEnhancer
Abstract utility class for handling settings common to
meta classifiers that build an ensemble from a single base learner.
- Version:
- $Revision: 12505 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
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Field Summary
Fields inherited from class weka.classifiers.AbstractClassifier
BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionvoid
buildClassifier
(Instances data) Stump method for building the classifiers.int
Gets 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 propertyvoid
setNumIterations
(int numIterations) Sets the number of bagging iterationsvoid
setOptions
(String[] options) Parses a given list of options.Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, postExecution, preExecution, setClassifier
Methods inherited from class weka.classifiers.AbstractClassifier
batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces
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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.- 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:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in 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:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in 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:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in 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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