weka.classifiers.trees

Class M5P

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.trees.m5.M5Base

weka.classifiers.trees.M5P

All Implemented Interfaces:

Serializable, Cloneable, Classifier, AdditionalMeasureProducer, CapabilitiesHandler, Drawable, OptionHandler, RevisionHandler, TechnicalInformationHandler

public class M5P
extends M5Base
implements 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: 8034 $

Author:

Mark Hall

See Also:

Serialized Form

Field Summary

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
M5P() Creates a new M5P instance.

Method Summary

Methods

Modifier and Type	Method and Description
String[]	getOptions() Gets the current settings of the classifier.
String	getRevision() Returns the revision string.
boolean	getSaveInstances() Get whether instance data is being save.
String	graph() Return a dot style String describing the tree.
int	graphType() Returns the type of graph this classifier represents.
Enumeration	listOptions() Returns an enumeration describing the available options
static void	main(String[] args) Main method by which this class can be tested
String	saveInstancesTipText() Returns the tip text for this property
void	setOptions(String[] options) Parses a given list of options.
void	setSaveInstances(boolean save) Set whether to save instance data at each node in the tree for visualization purposes

Methods inherited from class weka.classifiers.trees.m5.M5Base

buildClassifier, buildRegressionTreeTipText, classifyInstance, enumerateMeasures, generateRulesTipText, getBuildRegressionTree, getCapabilities, getM5RootNode, getMeasure, getMinNumInstances, getTechnicalInformation, getUnpruned, getUseUnsmoothed, globalInfo, measureNumRules, minNumInstancesTipText, setBuildRegressionTree, setMinNumInstances, setUnpruned, setUseUnsmoothed, toString, unprunedTipText, useUnsmoothedTipText

Methods inherited from class weka.classifiers.AbstractClassifier

debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

M5P

public M5P()

Creates a new M5P instance.

Method Detail

graphType

public int graphType()

Returns the type of graph this classifier represents.

Specified by:

graphType in interface Drawable

Returns:

Drawable.TREE

graph

public String graph()
             throws Exception

Return a dot style String describing the tree.

Specified by:

graph in interface 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 OptionHandler

Overrides:

listOptions in class M5Base

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 OptionHandler

Overrides:

setOptions in class M5Base

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 OptionHandler

Overrides:

getOptions in class M5Base

Returns:

an array of strings suitable for passing to setOptions

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class 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