Package weka.classifiers.rules

Class ZeroR

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.rules.ZeroR
All Implemented Interfaces:
Serializable, Cloneable, Sourcable, CapabilitiesHandler, OptionHandler, RevisionHandler, WeightedInstancesHandler
public class ZeroR extends Classifier implements WeightedInstancesHandler, Sourcable
Class for building and using a 0-R classifier. Predicts the mean (for a numeric class) or the mode (for a nominal class).

Valid options are: 

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
Version:
$Revision: 5529 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:

  • Constructor Details

    • ZeroR

      public ZeroR()

  • Method Details

    • globalInfo

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

    • getCapabilities

      public Capabilities getCapabilities()
      Returns default capabilities of the classifier.
      Specified by:
      getCapabilities in interface CapabilitiesHandler
      Overrides:
      getCapabilities in class Classifier
      Returns:
      the capabilities of this classifier
      See Also:

    • buildClassifier

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

    • classifyInstance

      public double classifyInstance(Instance instance)
      Classifies a given instance.
      Overrides:
      classifyInstance in class Classifier
      Parameters:
      instance - the instance to be classified
      Returns:
      index of the predicted class

    • distributionForInstance

      public double[] distributionForInstance(Instance instance) throws 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:
      Exception - if class is numeric

    • toSource

      public String toSource(String className) throws Exception
      Returns a string that describes the classifier as source. The classifier will be contained in a class with the given name (there may be auxiliary classes), and will contain a method with the signature: 
      
 public static double classify(Object[] i);
      where the array i contains elements that are either Double, String, with missing values represented as null. The generated code is public domain and comes with no warranty.
      Specified by:
      toSource in interface Sourcable
      Parameters:
      className - the name that should be given to the source class.
      Returns:
      the object source described by a string
      Throws:
      Exception - if the souce can't be computed

    • toString

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

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Overrides:
      getRevision in class Classifier
      Returns:
      the revision

    • main

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