Package weka.classifiers.meta
Class RandomCommittee
- All Implemented Interfaces:
Serializable
,Cloneable
,CapabilitiesHandler
,OptionHandler
,Randomizable
,RevisionHandler
,WeightedInstancesHandler
public class RandomCommittee
extends RandomizableIteratedSingleClassifierEnhancer
implements WeightedInstancesHandler
Class for building an ensemble of randomizable base classifiers. Each base classifiers is built using a different random number seed (but based one the same data). The final prediction is a straight average of the predictions generated by the individual base classifiers.
Valid options are:
-S <num> Random number seed. (default 1)
-I <num> Number of iterations. (default 10)
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.trees.RandomTree)
Options specific to classifier weka.classifiers.trees.RandomTree:
-K <number of attributes> Number of attributes to randomly investigate (<1 = int(log(#attributes)+1)).
-M <minimum number of instances> Set minimum number of instances per leaf.
-S <num> Seed for random number generator. (default 1)
-depth <num> The maximum depth of the tree, 0 for unlimited. (default 0)
-D If set, classifier is run in debug mode and may output additional info to the consoleOptions after -- are passed to the designated classifier.
- Version:
- $Revision: 1.13 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoid
buildClassifier
(Instances data) Builds the committee of randomizable classifiers.double[]
distributionForInstance
(Instance instance) Calculates the class membership probabilities for the given test instance.Returns the revision string.Returns a string describing classifierstatic void
Main method for testing this class.toString()
Returns description of the committee.Methods inherited from class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
getOptions, getSeed, listOptions, seedTipText, setOptions, setSeed
Methods inherited from class weka.classifiers.IteratedSingleClassifierEnhancer
getNumIterations, numIterationsTipText, setNumIterations
Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, setClassifier
Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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Constructor Details
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RandomCommittee
public RandomCommittee()Constructor.
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Method Details
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globalInfo
Returns a string describing classifier- Returns:
- a description suitable for displaying in the explorer/experimenter gui
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buildClassifier
Builds the committee of randomizable classifiers.- Overrides:
buildClassifier
in classIteratedSingleClassifierEnhancer
- 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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distributionForInstance
Calculates the class membership probabilities for the given test instance.- Overrides:
distributionForInstance
in classClassifier
- Parameters:
instance
- the instance to be classified- Returns:
- preedicted class probability distribution
- Throws:
Exception
- if distribution can't be computed successfully
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toString
Returns description of the committee. -
getRevision
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classClassifier
- Returns:
- the revision
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main
Main method for testing this class.- Parameters:
argv
- the options
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