Package adams.gui.tools.wekainvestigator.tab.experimenttab.setup

Class TrainTestSplitSetup

java.lang.Object

adams.core.logging.LoggingObject

adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation<ExperimentTab,ResultItem>

adams.gui.tools.wekainvestigator.tab.experimenttab.setup.AbstractExperimentSetup

adams.gui.tools.wekainvestigator.tab.experimenttab.setup.TrainTestSplitSetup

All Implemented Interfaces:

GlobalInfoSupporter, LoggingSupporter, SizeOfHandler, StatusMessageHandler, Stoppable, StoppableWithFeedback, Serializable

public class TrainTestSplitSetup
extends AbstractExperimentSetup

Setup for a train/test-split experiment.

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static String	KEY_DATASET
static String	KEY_GENERATOR
static String	KEY_JOBRUNNER
static String	KEY_PERCENTAGE
static String	KEY_RUNS
protected BaseCheckBox	m_CheckBoxPreserveOrder	whether to preserve the order.
protected BaseComboBox<String>	m_ComboBoxDatasets	the datasets.
protected weka.core.Instances	m_Dataset	the dataset in use.
protected File	m_DatasetTmpFile	the dataset's tmp file.
protected TrainTestSplitExperiment	m_Experiment	the experiment.
protected GenericObjectEditorPanel	m_GOEGenerator	the split generator.
protected GenericObjectEditorPanel	m_GOEJobRunner	the jobrunner.
protected DefaultComboBoxModel<String>	m_ModelDatasets	the datasets model.
protected ParameterPanel	m_PanelParameters	the panel with the parameters.
protected JSpinner	m_SpinnerRuns	the number of runs.
protected NumberTextField	m_TextPercentage	the split percentage.

Fields inherited from class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.AbstractExperimentSetup

m_Stopped

Fields inherited from class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

m_Owner, m_PanelOptions

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
TrainTestSplitSetup()

Method Summary

Modifier and Type	Method	Description
void	activate(int index)	Activates the specified dataset.
String	canExecute(weka.classifiers.Classifier classifier)	Tests whether the experiment setup can be executed for the classifier.
void	deserialize(Map<String,Object> data, MessageCollection errors)	Restores the objects.
protected void	doExecute(weka.classifiers.Classifier classifier, ResultItem item)	Executes the experiment setup for the classifier and updates the result item.
String	getName()	Returns the name of the evaluation (displayed in combobox).
String	globalInfo()	Returns a string describing the object.
ResultItem	init(weka.classifiers.Classifier classifier)	Initializes the result item.
protected void	initGUI()	Initializes the widgets.
protected void	postExecute(weka.classifiers.Classifier classifier, ResultItem item)	Hook method for after executing the experiment, e.g., cleaning up temp files.
Map<String,Object>	serialize(Set<AbstractInvestigatorTab.SerializationOption> options)	Returns the objects for serialization.
void	stopExecution()	Stops the execution.
void	update()	Updates the settings panel.

Methods inherited from class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.AbstractExperimentSetup

execute, getSetups, isStopped

Methods inherited from class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

addObjectSize, addToHistory, getOwner, getPanel, getProperties, getTestingUpdateInterval, initialize, isValidDataIndex, listOrArray, setOwner, showStatus, 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

Field Detail

KEY_DATASET

public static final String KEY_DATASET

See Also:

Constant Field Values

KEY_RUNS

public static final String KEY_RUNS

See Also:

Constant Field Values

KEY_PERCENTAGE

public static final String KEY_PERCENTAGE

See Also:

Constant Field Values

KEY_JOBRUNNER

public static final String KEY_JOBRUNNER

See Also:

Constant Field Values

KEY_GENERATOR

public static final String KEY_GENERATOR

See Also:

Constant Field Values

m_PanelParameters

protected ParameterPanel m_PanelParameters

the panel with the parameters.

m_ComboBoxDatasets

protected BaseComboBox<String> m_ComboBoxDatasets

the datasets.

m_ModelDatasets

protected DefaultComboBoxModel<String> m_ModelDatasets

the datasets model.

m_SpinnerRuns

protected JSpinner m_SpinnerRuns

the number of runs.

m_TextPercentage

protected NumberTextField m_TextPercentage

the split percentage.

m_CheckBoxPreserveOrder

protected BaseCheckBox m_CheckBoxPreserveOrder

whether to preserve the order.

m_GOEGenerator

protected GenericObjectEditorPanel m_GOEGenerator

the split generator.

m_GOEJobRunner

protected GenericObjectEditorPanel m_GOEJobRunner

the jobrunner.

m_Dataset

protected weka.core.Instances m_Dataset

the dataset in use.

m_Experiment

protected TrainTestSplitExperiment m_Experiment

the experiment.

m_DatasetTmpFile

protected File m_DatasetTmpFile

the dataset's tmp file.

Constructor Detail

TrainTestSplitSetup

public TrainTestSplitSetup()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Returns:

a description suitable for displaying in the gui

initGUI

protected void initGUI()

Initializes the widgets.

Overrides:

initGUI in class AbstractEvaluation<ExperimentTab,ResultItem>

getName

public String getName()

Returns the name of the evaluation (displayed in combobox).

Specified by:

getName in class AbstractEvaluation<ExperimentTab,ResultItem>

Returns:

the name

update

public void update()

Updates the settings panel.

Specified by:

update in class AbstractEvaluation<ExperimentTab,ResultItem>

activate

public void activate(int index)

Activates the specified dataset.

Specified by:

activate in class AbstractEvaluation<ExperimentTab,ResultItem>

Parameters:

index - the index of the dataset

canExecute

public String canExecute(weka.classifiers.Classifier classifier)

Tests whether the experiment setup can be executed for the classifier.

Specified by:

canExecute in class AbstractExperimentSetup

Parameters:

classifier - the classifier to check

Returns:

null if successful, otherwise error message

init

public ResultItem init(weka.classifiers.Classifier classifier)
                throws Exception

Initializes the result item.

Specified by:

init in class AbstractExperimentSetup

Parameters:

classifier - the current classifier

Returns:

the initialized history item

Throws:

Exception - if initialization fails

doExecute

protected void doExecute(weka.classifiers.Classifier classifier,
                         ResultItem item)
                  throws Exception

Executes the experiment setup for the classifier and updates the result item.

Specified by:

doExecute in class AbstractExperimentSetup

Parameters:

classifier - the current classifier

item - the item to update

Throws:

Exception - if evaluation fails

postExecute

protected void postExecute(weka.classifiers.Classifier classifier,
                           ResultItem item)

Hook method for after executing the experiment, e.g., cleaning up temp files.

Specified by:

postExecute in class AbstractExperimentSetup

Parameters:

classifier - the current classifier

item - the item to update

stopExecution

public void stopExecution()

Stops the execution.

Specified by:

stopExecution in interface Stoppable

Overrides:

stopExecution in class AbstractExperimentSetup

serialize

public Map<String,Object> serialize(Set<AbstractInvestigatorTab.SerializationOption> options)

Returns the objects for serialization.

Overrides:

serialize in class AbstractEvaluation<ExperimentTab,ResultItem>

Parameters:

options - what to serialize

Returns:

the mapping of the objects to serialize

deserialize

public void deserialize(Map<String,Object> data,
                        MessageCollection errors)

Restores the objects.

Overrides:

deserialize in class AbstractEvaluation<ExperimentTab,ResultItem>

Parameters:

data - the data to restore

errors - for storing errors