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Class weka.classifiers.DecisionStump 

java.lang.Object
   |
   +----weka.classifiers.Classifier
           |
           +----weka.classifiers.DistributionClassifier
                   |
                   +----weka.classifiers.DecisionStump
public class DecisionStump
extends DistributionClassifier
implements WeightedInstancesHandler, Sourcable
Class for building and using a decision stump. Usually used in conjunction with a boosting algorithm. Typical usage:

java weka.classifiers.LogitBoost -I 100 -W weka.classifiers.DecisionStump -t training_data

Version:
$Revision: 1.8 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

o DecisionStump()

Method Index

o buildClassifier(Instances)
Generates the classifier.
o distributionForInstance(Instance)
Calculates the class membership probabilities for the given test instance.
o main(String[])
Main method for testing this class.
o toSource(String)
Returns the decision tree as Java source code.
o toString()
Returns a description of the classifier.

Constructors

o DecisionStump 
 public DecisionStump()

Methods

o buildClassifier 
 public void buildClassifier(Instances instances) throws Exception
Generates the classifier.

Parameters:
instances - set of instances serving as training data
Throws: Exception
if the classifier has not been generated successfully
Overrides:
buildClassifier in class Classifier
o distributionForInstance 
 public double[] distributionForInstance(Instance instance) throws Exception
Calculates the class membership probabilities for the given test instance.

Parameters:
instance - the instance to be classified
Returns:
predicted class probability distribution
Throws: Exception
if distribution can't be computed
Overrides:
distributionForInstance in class DistributionClassifier
o toSource 
 public String toSource(String className) throws Exception
Returns the decision tree as Java source code.

Returns:
the tree as Java source code
Throws: Exception
if something goes wrong
o toString 
 public String toString()
Returns a description of the classifier.

Returns:
a description of the classifier as a string.
Overrides:
toString in class Object
o main 
 public static void main(String argv[])
Main method for testing this class.

Parameters:
argv - the options 
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