Package adams.flow.transformer.wekarepeatedcrossvalidationoutput

Class Statistics

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.flow.transformer.wekarepeatedcrossvalidationoutput.AbstractWekaRepeatedCrossValidationOutput<adams.data.spreadsheet.SpreadSheet>

adams.flow.transformer.wekarepeatedcrossvalidationoutput.Statistics

All Implemented Interfaces:

adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.QuickInfoSupporter, adams.core.SizeOfHandler, Serializable

public class Statistics
extends AbstractWekaRepeatedCrossValidationOutput<adams.data.spreadsheet.SpreadSheet>

Generates mean/stddev for the specified statistics.

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected WekaLabelIndex	m_ClassIndex	the index of the class label.
protected EvaluationStatistic[]	m_Statistics	the statistics to output.

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
Statistics()

Method Summary

Modifier and Type	Method	Description
String	classIndexTipText()	Returns the tip text for this property.
void	defineOptions()	Adds options to the internal list of options.
protected adams.data.spreadsheet.SpreadSheet	doGenerateOutput(WekaEvaluationContainer[] conts)	Generates the data.
Class	generates()	Returns the class that it generates.
WekaLabelIndex	getClassIndex()	Returns the current index of class label (1-based).
String	getQuickInfo()	Returns a quick info about the object, which can be displayed in the GUI.
EvaluationStatistic[]	getStatistics()	Returns the statistics to output.
String	globalInfo()	Returns a string describing the object.
String	handles(WekaEvaluationContainer[] conts)	Checks whether the cross-validation results can be processed.
void	setClassIndex(WekaLabelIndex value)	Sets the index of class label index (1-based).
void	setStatistics(EvaluationStatistic[] value)	Sets the statistics to output.
String	statisticsTipText()	Returns the tip text for this property.

Methods inherited from class adams.flow.transformer.wekarepeatedcrossvalidationoutput.AbstractWekaRepeatedCrossValidationOutput

generateOutput

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_Statistics

protected EvaluationStatistic[] m_Statistics

the statistics to output.

m_ClassIndex

protected WekaLabelIndex m_ClassIndex

the index of the class label.

Constructor Detail

Statistics

public Statistics()

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 adams.core.option.AbstractOptionHandler

setStatistics

public void setStatistics(EvaluationStatistic[] value)

Sets the statistics to output.

Parameters:

value - the statistics

getStatistics

public EvaluationStatistic[] getStatistics()

Returns the statistics to output.

Returns:

the statistics

statisticsTipText

public String statisticsTipText()

Returns the tip text for this property.

Returns:

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

setClassIndex

public void setClassIndex(WekaLabelIndex value)

Sets the index of class label index (1-based).

Parameters:

value - the label index

getClassIndex

public WekaLabelIndex getClassIndex()

Returns the current index of class label (1-based).

Returns:

the label index

classIndexTipText

public String classIndexTipText()

Returns the tip text for this property.

Returns:

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

getQuickInfo

public String getQuickInfo()

Returns a quick info about the object, which can be displayed in the GUI.

Specified by:

getQuickInfo in interface adams.core.QuickInfoSupporter

Overrides:

getQuickInfo in class AbstractWekaRepeatedCrossValidationOutput<adams.data.spreadsheet.SpreadSheet>

Returns:

null if no info available, otherwise short string

generates

public Class generates()

Returns the class that it generates.

Specified by:

generates in class AbstractWekaRepeatedCrossValidationOutput<adams.data.spreadsheet.SpreadSheet>

Returns:

the class

handles

public String handles(WekaEvaluationContainer[] conts)

Checks whether the cross-validation results can be processed.

Specified by:

handles in class AbstractWekaRepeatedCrossValidationOutput<adams.data.spreadsheet.SpreadSheet>

Parameters:

conts - the containers to check

Returns:

null if the data can be processed, otherwise an error message

doGenerateOutput

protected adams.data.spreadsheet.SpreadSheet doGenerateOutput(WekaEvaluationContainer[] conts)

Generates the data.

Specified by:

doGenerateOutput in class AbstractWekaRepeatedCrossValidationOutput<adams.data.spreadsheet.SpreadSheet>

Parameters:

conts - the containers to process

Returns:

the generated data