weka.experiment
Class CostSensitiveClassifierSplitEvaluator

java.lang.Object
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  +--weka.experiment.ClassifierSplitEvaluator
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        +--weka.experiment.CostSensitiveClassifierSplitEvaluator

All Implemented Interfaces:

AdditionalMeasureProducer, OptionHandler, java.io.Serializable, SplitEvaluator

public class CostSensitiveClassifierSplitEvaluator

extends ClassifierSplitEvaluator

A SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.

Author:

Len Trigg (len@intelligenesis.net)

See Also:

Serialized Form

Field Summary

protected java.io.File

m_OnDemandDirectory The directory used when loading cost files on demand, null indicates current directory

Fields inherited from class weka.experiment.ClassifierSplitEvaluator

m_AdditionalMeasures, m_Classifier, m_ClassifierOptions, m_ClassifierVersion, m_doesProduce, m_numberAdditionalMeasures, m_result

Constructor Summary

CostSensitiveClassifierSplitEvaluator()

Method Summary

java.io.File	getOnDemandDirectory() Returns the directory that will be searched for cost files when loading on demand.
java.lang.String[]	getOptions() Gets the current settings of 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.
java.lang.String	onDemandDirectoryTipText() Returns the tip text for this property
void	setOnDemandDirectory(java.io.File newDir) Sets the directory that will be searched for cost files when loading on demand.
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString() Returns a text description of the split evaluator.

Methods inherited from class weka.experiment.ClassifierSplitEvaluator

classifierTipText, enumerateMeasures, getClassForIRStatistics, getClassifier, getKey, getKeyNames, getKeyTypes, getMeasure, getRawResultOutput, setAdditionalMeasures, setClassForIRStatistics, setClassifier, setClassifierName, updateOptions

Methods inherited from class java.lang.Object

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

Field Detail

m_OnDemandDirectory

protected java.io.File m_OnDemandDirectory

The directory used when loading cost files on demand, null indicates current directory

Constructor Detail

CostSensitiveClassifierSplitEvaluator

public CostSensitiveClassifierSplitEvaluator()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this split evaluator

Overrides:

globalInfo in class ClassifierSplitEvaluator

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.

Overrides:

listOptions in class ClassifierSplitEvaluator

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 (in addition to those of ClassifierSplitEvaluator) are:

-D directory
Name of a directory to search for cost files when loading costs on demand (default current directory).

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

Overrides:

setOptions in class ClassifierSplitEvaluator

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.

Overrides:

getOptions in class ClassifierSplitEvaluator

Returns:

an array of strings suitable for passing to setOptions

onDemandDirectoryTipText

public java.lang.String onDemandDirectoryTipText()

Returns the tip text for this property

Returns:

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

getOnDemandDirectory

public java.io.File getOnDemandDirectory()

Returns the directory that will be searched for cost files when loading on demand.

Returns:

The cost file search directory.

setOnDemandDirectory

public void setOnDemandDirectory(java.io.File newDir)

Sets the directory that will be searched for cost files when loading on demand.

Parameters:

newDir - The cost file search directory.

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.

Overrides:

getResultTypes in class ClassifierSplitEvaluator

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.

Overrides:

getResultNames in class ClassifierSplitEvaluator

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.

Overrides:

getResult in class ClassifierSplitEvaluator

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

toString

public java.lang.String toString()

Returns a text description of the split evaluator.

Overrides:

toString in class ClassifierSplitEvaluator

Returns:

a text description of the split evaluator.