Package weka.classifiers.functions

Class IsotonicRegression

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.functions.IsotonicRegression
All Implemented Interfaces:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler, WeightedInstancesHandler
public class IsotonicRegression extends Classifier implements WeightedInstancesHandler
Learns an isotonic regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with numeric attributes.Considers the monotonically increasing case as well as the monotonicallydecreasing case

Valid options are: 

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
Version:
$Revision: 5523 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:

  • Constructor Details

    • IsotonicRegression

      public IsotonicRegression()

  • Method Details

    • globalInfo

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

    • classifyInstance

      public double classifyInstance(Instance inst) throws Exception
      Generate a prediction for the supplied instance.
      Overrides:
      classifyInstance in class Classifier
      Parameters:
      inst - the instance to predict.
      Returns:
      the prediction
      Throws:
      Exception - if an error occurs

    • 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 insts) throws Exception
      Builds an isotonic regression model given the supplied training data.
      Specified by:
      buildClassifier in class Classifier
      Parameters:
      insts - the training data.
      Throws:
      Exception - if an error occurs

    • toString

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

    • 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 - options