Package org.openml.weka.experiment

Class OpenmlRegressionSplitEvaluator

java.lang.Object

weka.experiment.RegressionSplitEvaluator

org.openml.weka.experiment.OpenmlRegressionSplitEvaluator

All Implemented Interfaces:

Serializable, OpenmlSplitEvaluator, weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.RevisionHandler, weka.experiment.SplitEvaluator

public class OpenmlRegressionSplitEvaluator
extends weka.experiment.RegressionSplitEvaluator
implements OpenmlSplitEvaluator

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.experiment.RegressionSplitEvaluator

m_AdditionalMeasures, m_Classifier, m_ClassifierOptions, m_ClassifierVersion, m_doesProduce, m_Evaluation, m_numPluginStatistics, m_pluginMetrics, m_result, m_Template

Constructor Summary

Constructors

Constructor	Description
OpenmlRegressionSplitEvaluator()

Method Summary

Modifier and Type	Method	Description
weka.classifiers.Classifier	getTrainedClassifier()	Returns the classifier that was trained most recent.
ArrayList<weka.classifiers.evaluation.Prediction>	recentPredictions()	Returns the predictions of the classifier that was called on it's predict function most recent.

Methods inherited from class weka.experiment.RegressionSplitEvaluator

classifierTipText, enumerateMeasures, getClassifier, getKey, getKeyNames, getKeyTypes, getMeasure, getNoSizeDetermination, getOptions, getRawResultOutput, getResult, getResultNames, getResultTypes, getRevision, globalInfo, listOptions, noSizeDeterminationTipText, setAdditionalMeasures, setClassifier, setClassifierName, setNoSizeDetermination, setOptions, toString, updateOptions

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.AdditionalMeasureProducer

enumerateMeasures, getMeasure

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Methods inherited from interface weka.core.RevisionHandler

getRevision

Methods inherited from interface weka.experiment.SplitEvaluator

getKey, getKeyNames, getKeyTypes, getRawResultOutput, getResult, getResultNames, getResultTypes, setAdditionalMeasures

Constructor Detail

OpenmlRegressionSplitEvaluator

public OpenmlRegressionSplitEvaluator()

Method Detail

recentPredictions

public ArrayList<weka.classifiers.evaluation.Prediction> recentPredictions()
                                                                    throws Exception

Description copied from interface: OpenmlSplitEvaluator

Returns the predictions of the classifier that was called on it's predict function most recent.

Specified by:

recentPredictions in interface OpenmlSplitEvaluator

Returns:

List of predictions

Throws:

Exception - - no predictions available

getTrainedClassifier

public weka.classifiers.Classifier getTrainedClassifier()

Description copied from interface: OpenmlSplitEvaluator

Returns the classifier that was trained most recent. Useful for trace operations. Note that this has different functionality than the native getClassifier function, which returns an untrained classifier.

Specified by:

getTrainedClassifier in interface OpenmlSplitEvaluator

Returns:

the classifier