ambit2.rest.task.weka

Class FilteredWekaPredictor<T>

java.lang.Object

net.idea.modbcum.p.DefaultAmbitProcessor<Target,Result>

net.idea.modbcum.p.AbstractDBProcessor<NativeTypeItem,IStructureRecord>

ambit2.rest.model.predictor.ModelPredictor<T,weka.core.Instance>

ambit2.rest.task.weka.FilteredWekaPredictor<T>

All Implemented Interfaces:

IStructureDiagramDepiction<BufferedImage>, IStructureDiagramHighlights, Serializable, net.idea.modbcum.i.IDBProcessor<weka.core.Instance,IStructureRecord>, net.idea.modbcum.i.processors.IProcessor<weka.core.Instance,IStructureRecord>

public class FilteredWekaPredictor<T>
extends ModelPredictor<T,weka.core.Instance>

Wrapper for weka models

Author:

nina

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected weka.classifiers.Classifier	classifier
protected weka.clusterers.Clusterer	clusterer
protected weka.attributeSelection.PrincipalComponents	pca

Fields inherited from class ambit2.rest.model.predictor.ModelPredictor

applicationRootReference, classIndex, filter, header, imageSize, model, modelReporter, propertyReporter, record, structureRequired, targetURI, valuesRequired

Fields inherited from class net.idea.modbcum.p.AbstractDBProcessor

closeConnection, connection

Fields inherited from class net.idea.modbcum.p.DefaultAmbitProcessor

enabled, logger, propertyChangeSupport

Constructor Summary

Constructors

Constructor and Description
FilteredWekaPredictor(org.restlet.data.Reference applicationRootReference, ModelQueryResults model, ModelURIReporter modelReporter)
FilteredWekaPredictor(org.restlet.data.Reference applicationRootReference, ModelQueryResults model, ModelURIReporter modelReporter, String[] targetURI)

Method Summary

Modifier and Type	Method and Description
void	assignResults(IStructureRecord record, Object value)
void	assignTransformedInstance(IStructureRecord record, weka.core.Instance value, double confidence)
weka.classifiers.Classifier	getClassifier()
weka.clusterers.Clusterer	getClusterer()
String	getCompoundURL(weka.core.Instance target)
BufferedImage	getLegend(int width, int height) Evaluation evaluation = new Evaluation( trainDataset ); evaluation.evaluateModel( classifier, testDataset ); for (int i = 0; i < evaluation.predictions(); i++) { NominalPrediction prediction = (NominalPrediction) evaluation.predictions().elementAt(i); double[] distribution = prediction.distribution(); }
weka.attributeSelection.PrincipalComponents	getPca()
protected boolean	isSupported(Object predictor)
Object	predict(weka.core.Instance target)
protected weka.core.Instance	predictionInstance(weka.core.Instance target)
void	setClassifier(weka.classifiers.Classifier classifier)
void	setClusterer(weka.clusterers.Clusterer clusterer)
void	setPca(weka.attributeSelection.PrincipalComponents pca)
String	toString()

Methods inherited from class ambit2.rest.model.predictor.ModelPredictor

createPredictor, createResultReference, extractRecordID, getClassIndex, getHeader, getImage, getImage, getImageSize, getModel, getModelReporter, getPredictor, getPropertyReporter, isStructureRequired, isValuesRequired, open, process, setImageSize, setModelReporter, setPropertyReporter, setStructureRequired, setValuesRequired, writeMessages

Methods inherited from class net.idea.modbcum.p.AbstractDBProcessor

close, getConnection, isCloseConnection, isEnabled, setCloseConnection, setConnection

Methods inherited from class net.idea.modbcum.p.DefaultAmbitProcessor

addPropertyChangeListener, addPropertyChangeListener, getID, removePropertyChangeListener, removePropertyChangeListener, setEnabled

Methods inherited from class java.lang.Object

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

Methods inherited from interface net.idea.modbcum.i.processors.IProcessor

getID, setEnabled

Field Detail

classifier

protected weka.classifiers.Classifier classifier

clusterer

protected weka.clusterers.Clusterer clusterer

pca

protected weka.attributeSelection.PrincipalComponents pca

Constructor Detail

FilteredWekaPredictor

public FilteredWekaPredictor(org.restlet.data.Reference applicationRootReference,
                             ModelQueryResults model,
                             ModelURIReporter modelReporter)

FilteredWekaPredictor

public FilteredWekaPredictor(org.restlet.data.Reference applicationRootReference,
                             ModelQueryResults model,
                             ModelURIReporter modelReporter,
                             String[] targetURI)

Method Detail

getPca

public weka.attributeSelection.PrincipalComponents getPca()

setPca

public void setPca(weka.attributeSelection.PrincipalComponents pca)

getClassifier

public weka.classifiers.Classifier getClassifier()

setClassifier

public void setClassifier(weka.classifiers.Classifier classifier)

getClusterer

public weka.clusterers.Clusterer getClusterer()

setClusterer

public void setClusterer(weka.clusterers.Clusterer clusterer)

isSupported

protected boolean isSupported(Object predictor)
                       throws org.restlet.resource.ResourceException

Overrides:

isSupported in class ModelPredictor<T,weka.core.Instance>

Returns:

true if this is the expected object type,

Throws:

org.restlet.resource.ResourceException

predictionInstance

protected weka.core.Instance predictionInstance(weka.core.Instance target)
                                         throws net.idea.modbcum.i.exceptions.AmbitException

Throws:

net.idea.modbcum.i.exceptions.AmbitException

getCompoundURL

public String getCompoundURL(weka.core.Instance target)
                      throws net.idea.modbcum.i.exceptions.AmbitException

Specified by:

getCompoundURL in class ModelPredictor<T,weka.core.Instance>

Throws:

net.idea.modbcum.i.exceptions.AmbitException

predict

public Object predict(weka.core.Instance target)
               throws net.idea.modbcum.i.exceptions.AmbitException

Specified by:

predict in class ModelPredictor<T,weka.core.Instance>

Throws:

net.idea.modbcum.i.exceptions.AmbitException

assignResults

public void assignResults(IStructureRecord record,
                          Object value)
                   throws net.idea.modbcum.i.exceptions.AmbitException

Overrides:

assignResults in class ModelPredictor<T,weka.core.Instance>

Throws:

net.idea.modbcum.i.exceptions.AmbitException

assignTransformedInstance

public void assignTransformedInstance(IStructureRecord record,
                                      weka.core.Instance value,
                                      double confidence)
                               throws net.idea.modbcum.i.exceptions.AmbitException

Throws:

net.idea.modbcum.i.exceptions.AmbitException

toString

public String toString()

Overrides:

toString in class ModelPredictor<T,weka.core.Instance>

getLegend

public BufferedImage getLegend(int width,
                               int height)
                        throws net.idea.modbcum.i.exceptions.AmbitException

Evaluation evaluation = new Evaluation( trainDataset ); evaluation.evaluateModel( classifier, testDataset ); for (int i = 0; i < evaluation.predictions(); i++) { NominalPrediction prediction = (NominalPrediction) evaluation.predictions().elementAt(i); double[] distribution = prediction.distribution(); }

Specified by:

getLegend in interface IStructureDiagramDepiction<BufferedImage>

Overrides:

getLegend in class ModelPredictor<T,weka.core.Instance>

Throws:

net.idea.modbcum.i.exceptions.AmbitException