weka.classifiers.meta
Class AttributeSelectedClassifier

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.meta.AttributeSelectedClassifier

All Implemented Interfaces:

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

public class AttributeSelectedClassifier

extends Classifier

implements OptionHandler, Drawable, AdditionalMeasureProducer

Class for running an arbitrary classifier on data that has been reduced through attribute selection.

Valid options from the command line are:

-W classifierstring
Classifierstring should contain the full class name of a classifier followed by options to the classifier. (required).

-E evaluatorstring
Evaluatorstring should contain the full class name of an attribute evaluator followed by any options. (required).

-S searchstring
Searchstring should contain the full class name of a search method followed by any options. (required).

Version:

$Revision: 1.14 $

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

protected AttributeSelection	m_AttributeSelection The attribute selection object
protected Classifier	m_Classifier The classifier
protected ASEvaluation	m_Evaluator The attribute evaluator to use
protected double	m_numAttributesSelected The number of attributes selected by the attribute selection phase
protected int	m_numClasses The number of class vals in the training data (1 if class is numeric)
protected Instances	m_ReducedHeader The header of the dimensionally reduced data
protected ASSearch	m_Search The search method to use
protected double	m_selectionTime The time taken to select attributes in milliseconds
protected double	m_totalTime The time taken to select attributes AND build the classifier

Fields inherited from class weka.classifiers.Classifier

m_Debug

Fields inherited from interface weka.core.Drawable

BayesNet, NOT_DRAWABLE, TREE

Constructor Summary

AttributeSelectedClassifier()

Method Summary

void	buildClassifier(Instances data) Build the classifier on the dimensionally reduced data.
java.lang.String	classifierTipText() Returns the tip text for this property
double[]	distributionForInstance(Instance instance) Classifies a given instance after attribute selection
java.util.Enumeration	enumerateMeasures() Returns an enumeration of the additional measure names
java.lang.String	evaluatorTipText() Returns the tip text for this property
Classifier	getClassifier() Gets the classifier used.
protected java.lang.String	getClassifierSpec() Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier
ASEvaluation	getEvaluator() Gets the attribute evaluator used
protected java.lang.String	getEvaluatorSpec() Gets the evaluator specification string, which contains the class name of the attribute evaluator and any options to it
double	getMeasure(java.lang.String additionalMeasureName) Returns the value of the named measure
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
ASSearch	getSearch() Gets the search method used
protected java.lang.String	getSearchSpec() Gets the search specification string, which contains the class name of the search method and any options to it
java.lang.String	globalInfo() Returns a string describing this search method
java.lang.String	graph() Returns graph describing the classifier (if possible).
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[] argv) Main method for testing this class.
double	measureNumAttributesSelected() Additional measure --- number of attributes selected
double	measureSelectionTime() Additional measure --- time taken (milliseconds) to select the attributes
double	measureTime() Additional measure --- time taken (milliseconds) to select attributes and build the classifier
java.lang.String	searchTipText() Returns the tip text for this property
void	setClassifier(Classifier classifier) Sets the classifier
void	setEvaluator(ASEvaluation evaluator) Sets the attribute evaluator
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setSearch(ASSearch search) Sets the search method
java.lang.String	toString() Output a representation of this classifier

Methods inherited from class weka.classifiers.Classifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, setDebug

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

m_Classifier

protected Classifier m_Classifier

The classifier

m_AttributeSelection

protected AttributeSelection m_AttributeSelection

The attribute selection object

m_Evaluator

protected ASEvaluation m_Evaluator

The attribute evaluator to use

m_Search

protected ASSearch m_Search

The search method to use

m_ReducedHeader

protected Instances m_ReducedHeader

The header of the dimensionally reduced data

m_numClasses

protected int m_numClasses

The number of class vals in the training data (1 if class is numeric)

m_numAttributesSelected

protected double m_numAttributesSelected

The number of attributes selected by the attribute selection phase

m_selectionTime

protected double m_selectionTime

The time taken to select attributes in milliseconds

m_totalTime

protected double m_totalTime

The time taken to select attributes AND build the classifier

Constructor Detail

AttributeSelectedClassifier

public AttributeSelectedClassifier()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this search method

Returns:

a description of the search method suitable for displaying in the explorer/experimenter gui

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class Classifier

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:

-W classifierstring
Classifierstring should contain the full class name of a classifier followed by options to the classifier. (required).

-E evaluatorstring
Evaluatorstring should contain the full class name of an attribute evaluator followed by any options. (required).

-S searchstring
Searchstring should contain the full class name of a search method followed by any options. (required).

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class Classifier

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 Classifier

Returns:

an array of strings suitable for passing to setOptions

classifierTipText

public java.lang.String classifierTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setClassifier

public void setClassifier(Classifier classifier)

Sets the classifier

Parameters:

classifier - the classifier with all options set.

getClassifier

public Classifier getClassifier()

Gets the classifier used.

Returns:

the classifier

getClassifierSpec

protected java.lang.String getClassifierSpec()

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

Returns:

the classifier string.

evaluatorTipText

public java.lang.String evaluatorTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setEvaluator

public void setEvaluator(ASEvaluation evaluator)

Sets the attribute evaluator

Parameters:

evaluator - the evaluator with all options set.

getEvaluator

public ASEvaluation getEvaluator()

Gets the attribute evaluator used

Returns:

the attribute evaluator

getEvaluatorSpec

protected java.lang.String getEvaluatorSpec()

Gets the evaluator specification string, which contains the class name of the attribute evaluator and any options to it

Returns:

the evaluator string.

searchTipText

public java.lang.String searchTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setSearch

public void setSearch(ASSearch search)

Sets the search method

Parameters:

search - the search method with all options set.

getSearch

public ASSearch getSearch()

Gets the search method used

Returns:

the search method

getSearchSpec

protected java.lang.String getSearchSpec()

Gets the search specification string, which contains the class name of the search method and any options to it

Returns:

the search string.

buildClassifier

public void buildClassifier(Instances data)
                     throws java.lang.Exception

Build the classifier on the dimensionally reduced data.

Specified by:

buildClassifier in class Classifier

Parameters:

data - the training data

Throws:

java.lang.Exception - if the classifier could not be built successfully

distributionForInstance

public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception

Classifies a given instance after attribute selection

Overrides:

distributionForInstance in class Classifier

Parameters:

instance - the instance to be classified

Returns:

an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction

Throws:

java.lang.Exception - if instance could not be classified successfully

graphType

public int graphType()

Returns the type of graph this classifier represents.

Specified by:

graphType in interface Drawable

Returns:

the type of graph representing the object

graph

public java.lang.String graph()
                       throws java.lang.Exception

Returns graph describing the classifier (if possible).

Specified by:

graph in interface Drawable

Returns:

the graph of the classifier in dotty format

Throws:

java.lang.Exception - if the classifier cannot be graphed

toString

public java.lang.String toString()

Output a representation of this classifier

measureNumAttributesSelected

public double measureNumAttributesSelected()

Additional measure --- number of attributes selected

Returns:

the number of attributes selected

measureSelectionTime

public double measureSelectionTime()

Additional measure --- time taken (milliseconds) to select the attributes

Returns:

the time taken to select attributes

measureTime

public double measureTime()

Additional measure --- time taken (milliseconds) to select attributes and build the classifier

Returns:

the total time (select attributes + build classifier)

enumerateMeasures

public java.util.Enumeration enumerateMeasures()

Returns an enumeration of the additional measure names

Specified by:

enumerateMeasures in interface AdditionalMeasureProducer

Returns:

an enumeration of the measure names

getMeasure

public double getMeasure(java.lang.String additionalMeasureName)

Returns the value of the named measure

Specified by:

getMeasure in interface AdditionalMeasureProducer

Parameters:

additionalMeasureName - the name of the measure to query for its value

Returns:

the value of the named measure

Throws:

java.lang.IllegalArgumentException - if the named measure is not supported

main

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

Main method for testing this class.

Parameters:

argv - should contain the following arguments: -t training file [-T test file] [-c class index]