Package adams.data.weka.predictions

Class FixedSizeErrorScaler

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.weka.predictions.AbstractErrorScaler

adams.data.weka.predictions.FixedSizeErrorScaler

All Implemented Interfaces:

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

public class FixedSizeErrorScaler
extends AbstractErrorScaler

Scales the errors to a fixed size.

Valid options are:

-size <int> (property: size)
    The size of the errors after scaling.
    default: 4
    minimum: 1
 

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected int	m_Size	the size.

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
FixedSizeErrorScaler()

Method Summary

Modifier and Type	Method	Description
void	defineOptions()	Adds options to the internal list of options.
weka.core.Capabilities	getCapabilities()	Returns the capabilities of this object.
int	getSize()	Returns the size for the errors.
String	globalInfo()	Returns a string describing the object.
ArrayList<Integer>	scale(ArrayList data)	Scales the errors.
void	setSize(int value)	Sets the size for the errors.
String	sizeTipText()	Returns the tip text for this property.

Methods inherited from class adams.data.weka.predictions.AbstractErrorScaler

compareTo, equals, forCommandLine, forName, getErrorScalers, shallowCopy, shallowCopy, toString

Methods inherited from class adams.core.option.AbstractOptionHandler

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

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_Size

protected int m_Size

the size.

Constructor Detail

FixedSizeErrorScaler

public FixedSizeErrorScaler()

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

setSize

public void setSize(int value)

Sets the size for the errors.

Parameters:

value - the size

getSize

public int getSize()

Returns the size for the errors.

Returns:

the size

sizeTipText

public String sizeTipText()

Returns the tip text for this property.

Returns:

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

getCapabilities

public weka.core.Capabilities getCapabilities()

Returns the capabilities of this object. Returns what types of classes the scaler can handle.

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Specified by:

getCapabilities in class AbstractErrorScaler

Returns:

the capabilities of this object

See Also:

Capabilities

scale

public ArrayList<Integer> scale(ArrayList data)

Scales the errors.

Specified by:

scale in class AbstractErrorScaler

Parameters:

data - the data containing the errors to scale

Returns:

the scaled errors