Package weka.classifiers.trees

Class M5P2

  • All Implemented Interfaces:
    Serializable, Cloneable, weka.classifiers.Classifier, weka.core.AdditionalMeasureProducer, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.Drawable, weka.core.OptionHandler, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler
    public class M5P2
extends M5Base2
implements weka.core.Drawable
    M5Base. Implements base routines for generating M5 Model trees and rules
    The original algorithm M5 was invented by R. Quinlan and Yong Wang made improvements.

    For more information see:

    Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992.

    Y. Wang, I. H. Witten: Induction of model trees for predicting continuous classes. In: Poster papers of the 9th European Conference on Machine Learning, 1997.

    BibTeX: 
     @inproceedings{Quinlan1992,
    address = {Singapore},
    author = {Ross J. Quinlan},
    booktitle = {5th Australian Joint Conference on Artificial Intelligence},
    pages = {343-348},
    publisher = {World Scientific},
    title = {Learning with Continuous Classes},
    year = {1992}
 }
 
 @inproceedings{Wang1997,
    author = {Y. Wang and I. H. Witten},
    booktitle = {Poster papers of the 9th European Conference on Machine Learning},
    publisher = {Springer},
    title = {Induction of model trees for predicting continuous classes},
    year = {1997}
 }


    Valid options are: 

     -N
  Use unpruned tree/rules
     -U
  Use unsmoothed predictions
     -R
  Build regression tree/rule rather than a model tree/rule
     -M <minimum number of instances>
  Set minimum number of instances per leaf
  (default 4)
     -L
  Save instances at the nodes in
  the tree (for visualization purposes)
    Version:
    $Revision$
    Author:
    Mark Hall
    See Also:
    Serialized Form

    • Constructor Detail

      • M5P2

        public M5P2()
        Creates a new M5P instance.

    • Method Detail

      • graphType

        public int graphType()
        Returns the type of graph this classifier represents.
        Specified by:
        graphType in interface weka.core.Drawable
        Returns:
        Drawable.TREE

      • graph

        public String graph()
             throws Exception
        Return a dot style String describing the tree.
        Specified by:
        graph in interface weka.core.Drawable
        Returns:
        a String value
        Throws:
        Exception - if an error occurs

      • saveInstancesTipText

        public String saveInstancesTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • setSaveInstances

        public void setSaveInstances​(boolean save)
        Set whether to save instance data at each node in the tree for visualization purposes
        Parameters:
        save - a boolean value

      • getSaveInstances

        public boolean getSaveInstances()
        Get whether instance data is being save.
        Returns:
        a boolean value

      • listOptions

        public Enumeration listOptions()
        Returns an enumeration describing the available options
        Specified by:
        listOptions in interface weka.core.OptionHandler
        Overrides:
        listOptions in class M5Base2
        Returns:
        an enumeration of all the available options

      • setOptions

        public void setOptions​(String[] options)
                throws Exception
        Parses a given list of options.

        Valid options are: 

         -N
  Use unpruned tree/rules
         -U
  Use unsmoothed predictions
         -R
  Build regression tree/rule rather than a model tree/rule
         -M <minimum number of instances>
  Set minimum number of instances per leaf
  (default 4)
         -L
  Save instances at the nodes in
  the tree (for visualization purposes)
        Specified by:
        setOptions in interface weka.core.OptionHandler
        Overrides:
        setOptions in class M5Base2
        Parameters:
        options - the list of options as an array of strings
        Throws:
        Exception - if an option is not supported

      • getOptions

        public String[] getOptions()
        Gets the current settings of the classifier.
        Specified by:
        getOptions in interface weka.core.OptionHandler
        Overrides:
        getOptions in class M5Base2
        Returns:
        an array of strings suitable for passing to setOptions

      • getRevision

        public String getRevision()
        Returns the revision string.
        Specified by:
        getRevision in interface weka.core.RevisionHandler
        Overrides:
        getRevision in class weka.classifiers.AbstractClassifier
        Returns:
        the revision

      • main

        public static void main​(String[] args)
        Main method by which this class can be tested
        Parameters:
        args - an array of options