weka.experiment
Class RegressionSplitEvaluator

java.lang.Object
  weka.experiment.RegressionSplitEvaluator

All Implemented Interfaces:

AdditionalMeasureProducer, OptionHandler, java.io.Serializable, SplitEvaluator

public class RegressionSplitEvaluator

extends java.lang.Object

implements SplitEvaluator, OptionHandler, AdditionalMeasureProducer

A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.

Version:

$Revision: 1.15 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

private static int	KEY_SIZE The length of a key
protected java.lang.String[]	m_AdditionalMeasures The names of any additional measures to look for in SplitEvaluators
protected Classifier	m_Classifier The classifier used for evaluation
protected java.lang.String	m_ClassifierOptions The classifier options (if any)
protected java.lang.String	m_ClassifierVersion The classifier version
protected boolean[]	m_doesProduce Array of booleans corresponding to the measures in m_AdditionalMeasures indicating which of the AdditionalMeasures the current classifier can produce
protected java.lang.String	m_result Holds the statistics for the most recent application of the classifier
private static int	RESULT_SIZE The length of a result

Constructor Summary

RegressionSplitEvaluator()
No args constructor.

Method Summary

java.lang.String	classifierTipText() Returns the tip text for this property
java.util.Enumeration	enumerateMeasures() Returns an enumeration of any additional measure names that might be in the classifier
Classifier	getClassifier() Get the value of Classifier.
java.lang.Object[]	getKey() Gets the key describing the current SplitEvaluator.
java.lang.String[]	getKeyNames() Gets the names of each of the key columns produced for a single run.
java.lang.Object[]	getKeyTypes() Gets the data types of each of the key columns produced for a single run.
double	getMeasure(java.lang.String additionalMeasureName) Returns the value of the named measure
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.lang.String	getRawResultOutput() Gets the raw output from the classifier
java.lang.Object[]	getResult(Instances train, Instances test) Gets the results for the supplied train and test datasets.
java.lang.String[]	getResultNames() Gets the names of each of the result columns produced for a single run.
java.lang.Object[]	getResultTypes() Gets the data types of each of the result columns produced for a single run.
java.lang.String	globalInfo() Returns a string describing this split evaluator
java.util.Enumeration	listOptions() Returns an enumeration describing the available options..
void	setAdditionalMeasures(java.lang.String[] additionalMeasures) Set a list of method names for additional measures to look for in Classifiers.
void	setClassifier(Classifier newClassifier) Sets the classifier.
void	setClassifierName(java.lang.String newClassifierName) Set the Classifier to use, given it's class name.
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString() Returns a text description of the split evaluator.
protected void	updateOptions() Updates the options that the current classifier is using.

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 used for evaluation

m_AdditionalMeasures

protected java.lang.String[] m_AdditionalMeasures

The names of any additional measures to look for in SplitEvaluators

m_doesProduce

protected boolean[] m_doesProduce

Array of booleans corresponding to the measures in m_AdditionalMeasures indicating which of the AdditionalMeasures the current classifier can produce

m_result

protected java.lang.String m_result

Holds the statistics for the most recent application of the classifier

m_ClassifierOptions

protected java.lang.String m_ClassifierOptions

The classifier options (if any)

m_ClassifierVersion

protected java.lang.String m_ClassifierVersion

The classifier version

KEY_SIZE

private static final int KEY_SIZE

The length of a key

See Also:

Constant Field Values

RESULT_SIZE

private static final int RESULT_SIZE

The length of a result

See Also:

Constant Field Values

Constructor Detail

RegressionSplitEvaluator

public RegressionSplitEvaluator()

No args constructor.

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this split evaluator

Returns:

a description of the split evaluator 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

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 classname
Specify the full class name of the classifier to evaluate.

All option after -- will be passed to the classifier.

Specified by:

setOptions in interface OptionHandler

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

Returns:

an array of strings suitable for passing to setOptions

setAdditionalMeasures

public void setAdditionalMeasures(java.lang.String[] additionalMeasures)

Set a list of method names for additional measures to look for in Classifiers. This could contain many measures (of which only a subset may be produceable by the current Classifier) if an experiment is the type that iterates over a set of properties.

Specified by:

setAdditionalMeasures in interface SplitEvaluator

Parameters:

additionalMeasures - an array of method names.

enumerateMeasures

public java.util.Enumeration enumerateMeasures()

Returns an enumeration of any additional measure names that might be in the classifier

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

getKeyTypes

public java.lang.Object[] getKeyTypes()

Gets the data types of each of the key columns produced for a single run. The number of key fields must be constant for a given SplitEvaluator.

Specified by:

getKeyTypes in interface SplitEvaluator

Returns:

an array containing objects of the type of each key column. The objects should be Strings, or Doubles.

getKeyNames

public java.lang.String[] getKeyNames()

Gets the names of each of the key columns produced for a single run. The number of key fields must be constant for a given SplitEvaluator.

Specified by:

getKeyNames in interface SplitEvaluator

Returns:

an array containing the name of each key column

getKey

public java.lang.Object[] getKey()

Gets the key describing the current SplitEvaluator. For example This may contain the name of the classifier used for classifier predictive evaluation. The number of key fields must be constant for a given SplitEvaluator.

Specified by:

getKey in interface SplitEvaluator

Returns:

an array of objects containing the key.

getResultTypes

public java.lang.Object[] getResultTypes()

Gets the data types of each of the result columns produced for a single run. The number of result fields must be constant for a given SplitEvaluator.

Specified by:

getResultTypes in interface SplitEvaluator

Returns:

an array containing objects of the type of each result column. The objects should be Strings, or Doubles.

getResultNames

public java.lang.String[] getResultNames()

Gets the names of each of the result columns produced for a single run. The number of result fields must be constant for a given SplitEvaluator.

Specified by:

getResultNames in interface SplitEvaluator

Returns:

an array containing the name of each result column

getResult

public java.lang.Object[] getResult(Instances train,
                                    Instances test)
                             throws java.lang.Exception

Gets the results for the supplied train and test datasets.

Specified by:

getResult in interface SplitEvaluator

Parameters:

train - the training Instances.

test - the testing Instances.

Returns:

the results stored in an array. The objects stored in the array may be Strings, Doubles, or null (for the missing value).

Throws:

java.lang.Exception - if a problem occurs while getting the results

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

getClassifier

public Classifier getClassifier()

Get the value of Classifier.

Returns:

Value of Classifier.

setClassifier

public void setClassifier(Classifier newClassifier)

Sets the classifier.

Parameters:

newClassifier - the new classifier to use.

updateOptions

protected void updateOptions()

Updates the options that the current classifier is using.

setClassifierName

public void setClassifierName(java.lang.String newClassifierName)
                       throws java.lang.Exception

Set the Classifier to use, given it's class name. A new classifier will be instantiated.

Throws:

java.lang.Exception - if the class name is invalid.

getRawResultOutput

public java.lang.String getRawResultOutput()

Gets the raw output from the classifier

Specified by:

getRawResultOutput in interface SplitEvaluator

Returns:

the raw output from the classifier

toString

public java.lang.String toString()

Returns a text description of the split evaluator.

Returns:

a text description of the split evaluator.