Package adams.gui.tools.wekamultiexperimenter.experiment

Class TrainTestSplitExperiment

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

adams.gui.tools.wekamultiexperimenter.experiment.TrainTestSplitExperiment

All Implemented Interfaces:

adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.SizeOfHandler, adams.core.Stoppable, adams.core.StoppableWithFeedback, adams.data.spreadsheet.SpreadSheetSupporter, ExperimentWithCustomizableRelationNames, ResettableExperiment, Serializable

public class TrainTestSplitExperiment
extends AbstractExperiment

Performs train-test splits.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	TrainTestSplitExperiment.TrainTestSplitExperimentJob

Nested classes/interfaces inherited from class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

AbstractExperiment.AbstractExperimentJob<T extends AbstractExperiment>

Field Summary

Fields

Modifier and Type	Field	Description
protected RandomSplitGenerator	m_Generator	the split generator to use.
protected double	m_Percentage	the split percentage.
protected boolean	m_PreserveOrder	whether to preserve the order.

Fields inherited from class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

m_ActualJobRunner, m_ClassAttribute, m_Classifiers, m_ClassLabelIndex, m_CommandLineHandler, m_Datasets, m_Generated, m_JobCounter, m_JobRunner, m_JobTotal, m_Notes, m_PrefixDatasetsWithIndex, m_ResetResults, m_Results, m_ResultsHandler, m_Running, m_Runs, m_StatusMessageHandler, m_Stopped, m_UseFilename

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
TrainTestSplitExperiment()

Method Summary

Modifier and Type	Method	Description
void	defineOptions()	Adds options to the internal list of options.
protected TrainTestSplitExperiment.TrainTestSplitExperimentJob	evaluate(int currentRun, weka.classifiers.Classifier cls, weka.core.Instances data)	Evaluates the classifier on the dataset.
String	generatorTipText()	Returns the tip text for this property.
RandomSplitGenerator	getGenerator()	Returns the scheme for generating the split.
double	getPercentage()	Returns the split percentage.
boolean	getPreserveOrder()	Returns whether to preserve the order.
String	globalInfo()	Returns a string describing the object.
String	percentageTipText()	Returns the tip text for this property.
String	preserveOrderTipText()	Returns the tip text for this property.
void	setGenerator(RandomSplitGenerator value)	Sets the scheme for generating the split.
void	setPercentage(double value)	Sets the split percentage.
void	setPreserveOrder(boolean value)	Sets whether to preserve the order.

Methods inherited from class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

addClassifier, addDataset, appendResults, classAttributeTipText, classifiersTipText, classLabelIndexTipText, clearProgress, configureRowFinder, datasetsTipText, doExecute, execute, getClassAttribute, getClassifiers, getClassLabelIndex, getDatasets, getJobRunner, getNotes, getPrefixDatasetsWithIndex, getResetResults, getResultsHandler, getRuns, getStatusMessageHandler, getUseFilename, incProgress, initExecute, initProgress, initResults, isComplete, isRequired, isStopped, jobRunnerTipText, loadDataset, log, log, notesTipText, postExecute, preExecute, prefixDatasetsWithIndexTipText, removeIncomplete, resetResultsTipText, resultWriterTipText, runsTipText, setClassAttribute, setClassifiers, setClassLabelIndex, setDatasets, setJobRunner, setNotes, setPrefixDatasetsWithIndex, setResetResults, setResultsHandler, setRuns, setStatusMessageHandler, setUseFilename, shortenCommandLine, showProgress, stopExecution, toInstances, toSpreadSheet, useFilenameTipText

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_Percentage

protected double m_Percentage

the split percentage.

m_PreserveOrder

protected boolean m_PreserveOrder

whether to preserve the order.

m_Generator

protected RandomSplitGenerator m_Generator

the split generator to use.

Constructor Detail

TrainTestSplitExperiment

public TrainTestSplitExperiment()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface adams.core.GlobalInfoSupporter

Specified by:

globalInfo in class adams.core.option.AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface adams.core.option.OptionHandler

Overrides:

defineOptions in class AbstractExperiment

setPercentage

public void setPercentage(double value)

Sets the split percentage.

Parameters:

value - the percentage

getPercentage

public double getPercentage()

Returns the split percentage.

Returns:

the percentage

percentageTipText

public String percentageTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setPreserveOrder

public void setPreserveOrder(boolean value)

Sets whether to preserve the order.

Parameters:

value - true if to preserve

getPreserveOrder

public boolean getPreserveOrder()

Returns whether to preserve the order.

Returns:

true if to preserve

preserveOrderTipText

public String preserveOrderTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setGenerator

public void setGenerator(RandomSplitGenerator value)

Sets the scheme for generating the split.

Parameters:

value - the generator

getGenerator

public RandomSplitGenerator getGenerator()

Returns the scheme for generating the split.

Returns:

the generator

generatorTipText

public String generatorTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

evaluate

protected TrainTestSplitExperiment.TrainTestSplitExperimentJob evaluate(int currentRun,
                                                                        weka.classifiers.Classifier cls,
                                                                        weka.core.Instances data)

Evaluates the classifier on the dataset.

Specified by:

evaluate in class AbstractExperiment

Parameters:

currentRun - the current run

cls - the classifier to evaluate

data - the dataset to evaluate on

Returns:

null if successful, otherwise error message