weka.classifiers.trees
Class M5P

java.lang.Object
  |
  +--weka.classifiers.Classifier
        |
        +--weka.classifiers.trees.m5.M5Base
              |
              +--weka.classifiers.trees.M5P

All Implemented Interfaces:

AdditionalMeasureProducer, java.lang.Cloneable, Drawable, OptionHandler, java.io.Serializable

public class M5P

extends M5Base

implements Drawable

M5P. Implements routines for generating M5 model trees. Valid options are:

-U
Use unsmoothed predictions.

Version:

$Revision: 1.1 $

Author:

Mark Hall

See Also:

Serialized Form

Field Summary

Fields inherited from interface weka.core.Drawable

BayesNet, NOT_DRAWABLE, TREE

Constructor Summary

M5P()
Creates a new M5P instance.

Method Summary

java.lang.String[]	getOptions() Gets the current settings of the classifier.
boolean	getSaveInstances() Get whether instance data is being save.
java.lang.String	graph() Return a dot style String describing the tree.
int	graphType() Returns the type of graph this classifier represents.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options
static void	main(java.lang.String[] args) Main method by which this class can be tested
void	setOptions(java.lang.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, classifyInstance, enumerateMeasures, getBuildRegressionTree, getM5RootNode, getMeasure, getMinNumInstances, getUnpruned, getUseUnsmoothed, measureNumRules, setBuildRegressionTree, setMinNumInstances, setUnpruned, setUseUnsmoothed, toString

Methods inherited from class weka.classifiers.Classifier

debugTipText, distributionForInstance, forName, getDebug, makeCopies, 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 java.lang.String graph()
                       throws java.lang.Exception

Return a dot style String describing the tree.

Specified by:

graph in interface Drawable

Returns:

a String value

Throws:

java.lang.Exception - if an error occurs

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 java.util.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(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

Valid options are:

-U
Use unsmoothed predictions.

-R
Build a regression tree rather than a model tree.

-L
Save instance data at each node (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:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.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

main

public static void main(java.lang.String[] args)

Main method by which this class can be tested

Parameters:

args - an array of options