org.apache.ctakes.ytex.weka

Class WekaAttributeEvaluatorImpl

java.lang.Object

org.apache.ctakes.ytex.weka.WekaAttributeEvaluatorImpl

All Implemented Interfaces:

WekaAttributeEvaluator

public class WekaAttributeEvaluatorImpl
extends Object
implements WekaAttributeEvaluator

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	WekaAttributeEvaluatorImpl.WekaAttributeEvaluatorFormatter

Constructor Summary

Constructors

Constructor and Description
WekaAttributeEvaluatorImpl()

Method Summary

Modifier and Type	Method and Description
void	evaluateAttributes(String corpusName, String featureSetName, String splitName, weka.core.Instances inst, String label, Integer run, Integer fold) evaluate attributes, store in db
void	evaluateAttributesFromFile(String corpusName, String featureSetName, String splitName, String file) evaluate attributes in an arff file, save rank in db
void	evaluateAttributesFromProps(String corpusName, String splitName, String featureSetName, Properties props) create instances from properties file, evaluate, save in db
weka.attributeSelection.ASEvaluation	getAsEvaluation()
weka.attributeSelection.AttributeSelection	getAttributeSelection()
ClassifierEvaluationDao	getClassifierEvaluationDao()
KernelUtil	getKernelUtil()
SparseDataExporter	getSparseDataExporter()
FeatureEvaluation	initializeFeatureEvaluation(String corpusName, String featureSetName, String splitName, String label, Integer run, Integer fold)
static void	main(String[] args)
void	setAsEvaluation(weka.attributeSelection.ASEvaluation asEvaluation)
void	setAttributeSelection(weka.attributeSelection.AttributeSelection attributeSelection)
void	setClassifierEvaluationDao(ClassifierEvaluationDao classifierEvaluationDao)
void	setKernelUtil(KernelUtil kernelUtil)
void	setSparseDataExporter(SparseDataExporter sparseDataExporter)

Methods inherited from class java.lang.Object

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

Constructor Detail

WekaAttributeEvaluatorImpl

public WekaAttributeEvaluatorImpl()

Method Detail

main

public static void main(String[] args)
                 throws Exception

Parameters:

args -

Throws:

Exception

evaluateAttributes

public void evaluateAttributes(String corpusName,
                               String featureSetName,
                               String splitName,
                               weka.core.Instances inst,
                               String label,
                               Integer run,
                               Integer fold)
                        throws Exception

evaluate attributes, store in db

Parameters:

inst - instances

label - FeatureEvaluation.getLabel()

run - ClassifierEvaluation.getRun() to map to fold

fold - ClassifierEvaluation.getFold() to map to fold

Throws:

Exception

evaluateAttributesFromFile

public void evaluateAttributesFromFile(String corpusName,
                                       String featureSetName,
                                       String splitName,
                                       String file)
                                throws Exception

Description copied from interface: WekaAttributeEvaluator

evaluate attributes in an arff file, save rank in db

Specified by:

evaluateAttributesFromFile in interface WekaAttributeEvaluator

Parameters:

corpusName - cv_fold.name

Throws:

Exception

evaluateAttributesFromProps

public void evaluateAttributesFromProps(String corpusName,
                                        String splitName,
                                        String featureSetName,
                                        Properties props)
                                 throws Exception

Description copied from interface: WekaAttributeEvaluator

create instances from properties file, evaluate, save in db

Specified by:

evaluateAttributesFromProps in interface WekaAttributeEvaluator

Parameters:

corpusName - cv_fold.name

Throws:

Exception

getAsEvaluation

public weka.attributeSelection.ASEvaluation getAsEvaluation()

getAttributeSelection

public weka.attributeSelection.AttributeSelection getAttributeSelection()

getClassifierEvaluationDao

public ClassifierEvaluationDao getClassifierEvaluationDao()

getKernelUtil

public KernelUtil getKernelUtil()

getSparseDataExporter

public SparseDataExporter getSparseDataExporter()

initializeFeatureEvaluation

public FeatureEvaluation initializeFeatureEvaluation(String corpusName,
                                                     String featureSetName,
                                                     String splitName,
                                                     String label,
                                                     Integer run,
                                                     Integer fold)

setAsEvaluation

public void setAsEvaluation(weka.attributeSelection.ASEvaluation asEvaluation)

setAttributeSelection

public void setAttributeSelection(weka.attributeSelection.AttributeSelection attributeSelection)

setClassifierEvaluationDao

public void setClassifierEvaluationDao(ClassifierEvaluationDao classifierEvaluationDao)

setKernelUtil

public void setKernelUtil(KernelUtil kernelUtil)

setSparseDataExporter

public void setSparseDataExporter(SparseDataExporter sparseDataExporter)