Package weka.classifiers.trees
Class DecisionStump
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.trees.DecisionStump
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,Sourcable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,WeightedInstancesHandler
public class DecisionStump extends Classifier implements WeightedInstancesHandler, Sourcable
Class for building and using a decision stump. Usually used in conjunction with a boosting algorithm. Does regression (based on mean-squared error) or classification (based on entropy). Missing is treated as a separate value. Typical usage:java weka.classifiers.meta.LogitBoost -I 100 -W weka.classifiers.trees.DecisionStump -t training_data
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
- Version:
- $Revision: 5535 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description DecisionStump()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(Instances instances)
Generates the classifier.double[]
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance.Capabilities
getCapabilities()
Returns default capabilities of the classifier.java.lang.String
getRevision()
Returns the revision string.java.lang.String
globalInfo()
Returns a string describing classifierstatic void
main(java.lang.String[] argv)
Main method for testing this class.java.lang.String
toSource(java.lang.String className)
Returns the decision tree as Java source code.java.lang.String
toString()
Returns a description of the classifier.-
Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing classifier- Returns:
- a description suitable for displaying in the explorer/experimenter gui
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getCapabilities
public Capabilities getCapabilities()
Returns default capabilities of the classifier.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Overrides:
getCapabilities
in classClassifier
- Returns:
- the capabilities of this classifier
- See Also:
Capabilities
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buildClassifier
public void buildClassifier(Instances instances) throws java.lang.Exception
Generates the classifier.- Specified by:
buildClassifier
in classClassifier
- Parameters:
instances
- set of instances serving as training data- Throws:
java.lang.Exception
- if the classifier has not been generated successfully
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distributionForInstance
public double[] distributionForInstance(Instance instance) throws java.lang.Exception
Calculates the class membership probabilities for the given test instance.- Overrides:
distributionForInstance
in classClassifier
- Parameters:
instance
- the instance to be classified- Returns:
- predicted class probability distribution
- Throws:
java.lang.Exception
- if distribution can't be computed
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toSource
public java.lang.String toSource(java.lang.String className) throws java.lang.Exception
Returns the decision tree as Java source code.
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toString
public java.lang.String toString()
Returns a description of the classifier.- Overrides:
toString
in classjava.lang.Object
- Returns:
- a description of the classifier as a string.
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classClassifier
- Returns:
- the revision
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main
public static void main(java.lang.String[] argv)
Main method for testing this class.- Parameters:
argv
- the options
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