Package weka.classifiers
Class RandomizableIteratedSingleClassifierEnhancer
java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.IteratedSingleClassifierEnhancer
weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
- All Implemented Interfaces:
Serializable,Cloneable,Classifier,BatchPredictor,CapabilitiesHandler,CapabilitiesIgnorer,CommandlineRunnable,OptionHandler,Randomizable,RevisionHandler
- Direct Known Subclasses:
AdaBoostM1,LogitBoost
public abstract class RandomizableIteratedSingleClassifierEnhancer
extends IteratedSingleClassifierEnhancer
implements Randomizable
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble from a single base learner.
- Version:
- $Revision: 10141 $
- 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 -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionString[]Gets the current settings of the classifier.intgetSeed()Gets the seed for the random number generationsReturns an enumeration describing the available options.Returns the tip text for this propertyvoidsetOptions(String[] options) Parses a given list of options.voidsetSeed(int seed) Set the seed for random number generation.Methods inherited from class weka.classifiers.IteratedSingleClassifierEnhancer
buildClassifier, getNumIterations, numIterationsTipText, setNumIterationsMethods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, postExecution, preExecution, setClassifierMethods 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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RandomizableIteratedSingleClassifierEnhancer
public RandomizableIteratedSingleClassifierEnhancer()
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Method Details
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listOptions
Returns an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin classIteratedSingleClassifierEnhancer- 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).-S num
Set the random number seed (default 1).Options after -- are passed to the designated classifier.
- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classIteratedSingleClassifierEnhancer- 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 classIteratedSingleClassifierEnhancer- Returns:
- an array of strings suitable for passing to setOptions
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seedTipText
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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setSeed
public void setSeed(int seed) Set the seed for random number generation.- Specified by:
setSeedin interfaceRandomizable- Parameters:
seed- the seed
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getSeed
public int getSeed()Gets the seed for the random number generations- Specified by:
getSeedin interfaceRandomizable- Returns:
- the seed for the random number generation
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