Package adams.gui.tools.wekainvestigator.tab.attseltab

Class ResultItem

java.lang.Object

adams.core.logging.LoggingObject

adams.gui.tools.wekainvestigator.output.AbstractResultItem

adams.gui.tools.wekainvestigator.tab.attseltab.ResultItem

All Implemented Interfaces:

CleanUpHandler, LoggingSupporter, SizeOfHandler, Serializable

public class ResultItem
extends AbstractResultItem

Container for an attribute selection, evaluator and search method. Used in the result history.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected weka.attributeSelection.AttributeSelection	m_AttributeSelection	the attsel object.
protected weka.attributeSelection.ASEvaluation	m_Evaluator	the evaluation algorithm.
protected int	m_Folds	the number of folds (in case of cross-validation).
protected weka.core.Instances	m_Full	the full dataset.
protected MetaData	m_RunInformation	the run information.
protected weka.attributeSelection.ASSearch	m_Search	the search algorithm.

Fields inherited from class adams.gui.tools.wekainvestigator.output.AbstractResultItem

m_Header, m_Log, m_LogPanel, m_Name, m_TabbedPane, m_Timestamp, MAX_RELATIONNAME_LENGTH

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
ResultItem(weka.attributeSelection.ASEvaluation evaluator, weka.attributeSelection.ASSearch search, weka.core.Instances header)	Initializes the item.

Method Summary

Modifier and Type	Method	Description
protected String	createName()	Creates the name from the members.
weka.attributeSelection.AttributeSelection	getAttributeSelection()	Returns the stored AttributeSelection object.
weka.attributeSelection.ASEvaluation	getEvaluator()	Returns the stored evaluator object.
int	getFolds()	Returns the number of folds.
weka.core.Instances	getFull()	Returns the full dataset if present.
MetaData	getRunInformation()	Returns the stored run information.
weka.attributeSelection.ASSearch	getSearch()	Returns the stored search object.
boolean	hasFull()	Checks whether a full dataset is present.
boolean	hasRunInformation()	Returns whether run information is present.
boolean	isCrossValidation()	Returns whether cross-valiation was used.
String	toString()	Returns a short description of the container.
void	update(weka.attributeSelection.AttributeSelection attsel, int folds, MetaData runInfo)	Updates the item.
protected void	update(weka.attributeSelection.AttributeSelection attsel, int folds, weka.core.Instances full, MetaData runInfo)	Updates the item.
void	update(weka.attributeSelection.AttributeSelection attsel, weka.core.Instances full, MetaData runInfo)	Updates the item.

Methods inherited from class adams.gui.tools.wekainvestigator.output.AbstractResultItem

cleanUp, getHeader, getLogPanel, getName, getTabbedPane, hasHeader, invalidateName, logError, logMessage

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

m_AttributeSelection

protected weka.attributeSelection.AttributeSelection m_AttributeSelection

the attsel object.

m_Search

protected weka.attributeSelection.ASSearch m_Search

the search algorithm.

m_Evaluator

protected weka.attributeSelection.ASEvaluation m_Evaluator

the evaluation algorithm.

m_Folds

protected int m_Folds

the number of folds (in case of cross-validation).

m_Full

protected weka.core.Instances m_Full

the full dataset.

m_RunInformation

protected MetaData m_RunInformation

the run information.

Constructor Detail

ResultItem

public ResultItem(weka.attributeSelection.ASEvaluation evaluator,
                  weka.attributeSelection.ASSearch search,
                  weka.core.Instances header)

Initializes the item.

Parameters:

evaluator - the evaluation algorithm

search - the search algorithm

header - the header of the training set

Method Detail

createName

protected String createName()

Creates the name from the members.

Specified by:

createName in class AbstractResultItem

Returns:

the name

update

public void update(weka.attributeSelection.AttributeSelection attsel,
                   weka.core.Instances full,
                   MetaData runInfo)

Updates the item.

Parameters:

attsel - the attribute selection

full - the full dataset

runInfo - the run information, can be null

update

public void update(weka.attributeSelection.AttributeSelection attsel,
                   int folds,
                   MetaData runInfo)

Updates the item.

Parameters:

attsel - the attribute selection

folds - the number of folds, ignored if < 2

runInfo - the run information, can be null

update

protected void update(weka.attributeSelection.AttributeSelection attsel,
                      int folds,
                      weka.core.Instances full,
                      MetaData runInfo)

Updates the item.

Parameters:

attsel - the attribute selection

folds - the number of folds, ignored if < 2

full - the full dataset, can be null in case of cross-validation

runInfo - the run information, can be null

getAttributeSelection

public weka.attributeSelection.AttributeSelection getAttributeSelection()

Returns the stored AttributeSelection object.

Returns:

the attsel, null if not present

getSearch

public weka.attributeSelection.ASSearch getSearch()

Returns the stored search object.

Returns:

the search, null if not present

getEvaluator

public weka.attributeSelection.ASEvaluation getEvaluator()

Returns the stored evaluator object.

Returns:

the evaluator, null if not present

isCrossValidation

public boolean isCrossValidation()

Returns whether cross-valiation was used.

Returns:

true if cross-validation

getFolds

public int getFolds()

Returns the number of folds.

Returns:

the number of folds

hasFull

public boolean hasFull()

Checks whether a full dataset is present.

Returns:

true if available

getFull

public weka.core.Instances getFull()

Returns the full dataset if present.

Returns:

the dataset, null if not available

hasRunInformation

public boolean hasRunInformation()

Returns whether run information is present.

Returns:

true if available

getRunInformation

public MetaData getRunInformation()

Returns the stored run information.

Returns:

the information, null if not present

toString

public String toString()

Returns a short description of the container.

Specified by:

toString in class AbstractResultItem

Returns:

the description