Package weka.classifiers.trees

Class DecisionStump

  • 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

    • Constructor Detail

      • DecisionStump

        public DecisionStump()

    • Method Detail

      • globalInfo

        public java.lang.String globalInfo()
        Returns a string describing classifier
        Returns:
        a description suitable for displaying in the explorer/experimenter gui

      • buildClassifier

        public void buildClassifier​(Instances instances)
                     throws java.lang.Exception
        Generates the classifier.
        Specified by:
        buildClassifier in class Classifier
        Parameters:
        instances - set of instances serving as training data
        Throws:
        java.lang.Exception - if the classifier has not been generated successfully

      • distributionForInstance

        public double[] distributionForInstance​(Instance instance)
                                 throws java.lang.Exception
        Calculates the class membership probabilities for the given test instance.
        Overrides:
        distributionForInstance in class Classifier
        Parameters:
        instance - the instance to be classified
        Returns:
        predicted class probability distribution
        Throws:
        java.lang.Exception - if distribution can't be computed

      • toSource

        public java.lang.String toSource​(java.lang.String className)
                          throws java.lang.Exception
        Returns the decision tree as Java source code.
        Specified by:
        toSource in interface Sourcable
        Parameters:
        className - the classname of the generated code
        Returns:
        the tree as Java source code
        Throws:
        java.lang.Exception - if something goes wrong

      • toString

        public java.lang.String toString()
        Returns a description of the classifier.
        Overrides:
        toString in class java.lang.Object
        Returns:
        a description of the classifier as a string.

      • main

        public static void main​(java.lang.String[] argv)
        Main method for testing this class.
        Parameters:
        argv - the options