Package adams.data.instancesanalysis.pls

Class AbstractMultiClassPLS

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.instancesanalysis.pls.AbstractPLS

adams.data.instancesanalysis.pls.AbstractMultiClassPLS

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, TechnicalInformationHandler, Serializable, weka.core.CapabilitiesHandler, GenericPLSMatrixAccess

Direct Known Subclasses:

KernelPLS

public abstract class AbstractMultiClassPLS
extends AbstractPLS

Ancestor for schemes that predict multiple classes.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected gnu.trove.list.TIntList	m_ClassAttributeIndices	the class attribute indices.
protected BaseRegExp	m_ClassAttributes	the regular expression for identifying class attributes (besides an explicitly set one).
protected Map<Integer,Double>	m_ClassMean	the class mean.
protected Map<Integer,Double>	m_ClassStdDev	the class stddev.
protected weka.filters.Filter	m_Filter	for centering the data
protected weka.filters.Filter	m_Missing	for replacing missing values
static String	PARAM_CLASSVALUES

Fields inherited from class adams.data.instancesanalysis.pls.AbstractPLS

m_Initialized, m_NumComponents, m_OutputFormat, m_PredictionType, m_PreprocessingType, m_ReplaceMissing

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
AbstractMultiClassPLS()

Method Summary

Modifier and Type	Method	Description
String	classAttributesTipText()	Returns the tip text for this property
void	defineOptions()	Adds options to the internal list of options.
weka.core.Instances	determineOutputFormat(weka.core.Instances input)	Determines the output format based on the input format and returns this.
BaseRegExp	getClassAttributes()	Returns the regular expression for identifying the class attributes (besides an explicitly set one).
protected BaseRegExp	getDefaultClassAttributes()	Returns the default regular expression for the class attributes.
protected weka.core.Instances	postTransform(weka.core.Instances instances, Map<String,Object> params)	Postprocesses the data.
protected weka.core.Instances	preTransform(weka.core.Instances instances, Map<String,Object> params)	Preprocesses the data.
void	reset()	Resets the scheme.
void	setClassAttributes(BaseRegExp value)	Sets the regular expression for identifying the class attributes (besides an explicitly set one).

Methods inherited from class adams.data.instancesanalysis.pls.AbstractPLS

doTransform, getCapabilities, getDefaultPreprocessingType, getLoadings, getMatrix, getMatrixNames, getNumComponents, getOutputFormat, getPredictionType, getPreprocessingType, getReplaceMissing, getTechnicalInformation, hasLoadings, isInitialized, numComponentsTipText, predictionTypeTipText, preprocessingTypeTipText, replaceMissingTipText, setNumComponents, setPredictionType, setPreprocessingType, setReplaceMissing, transform

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, globalInfo, initialize, loggingLevelTipText, newOptionManager, 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

PARAM_CLASSVALUES

public static final String PARAM_CLASSVALUES

See Also:

Constant Field Values

m_ClassAttributes

protected BaseRegExp m_ClassAttributes

the regular expression for identifying class attributes (besides an explicitly set one).

m_Missing

protected weka.filters.Filter m_Missing

for replacing missing values

m_Filter

protected weka.filters.Filter m_Filter

for centering the data

m_ClassAttributeIndices

protected gnu.trove.list.TIntList m_ClassAttributeIndices

the class attribute indices.

m_ClassMean

protected Map<Integer,Double> m_ClassMean

the class mean.

m_ClassStdDev

protected Map<Integer,Double> m_ClassStdDev

the class stddev.

Constructor Detail

AbstractMultiClassPLS

public AbstractMultiClassPLS()

Method Detail

reset

public void reset()

Resets the scheme.

Overrides:

reset in class AbstractPLS

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractPLS

getDefaultClassAttributes

protected BaseRegExp getDefaultClassAttributes()

Returns the default regular expression for the class attributes.

Returns:

the default

setClassAttributes

public void setClassAttributes(BaseRegExp value)

Sets the regular expression for identifying the class attributes (besides an explicitly set one).

Parameters:

value - the regular expression

getClassAttributes

public BaseRegExp getClassAttributes()

Returns the regular expression for identifying the class attributes (besides an explicitly set one).

Returns:

the regular expression

classAttributesTipText

public String classAttributesTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

determineOutputFormat

public weka.core.Instances determineOutputFormat(weka.core.Instances input)
                                          throws Exception

Determines the output format based on the input format and returns this.

Specified by:

determineOutputFormat in class AbstractPLS

Parameters:

input - the input format to base the output format on

Returns:

the output format

Throws:

Exception - in case the determination goes wrong

preTransform

protected weka.core.Instances preTransform(weka.core.Instances instances,
                                           Map<String,Object> params)
                                    throws Exception

Preprocesses the data.

Specified by:

preTransform in class AbstractPLS

Parameters:

instances - the data to process

params - additional parameters

Returns:

the preprocessed data

Throws:

Exception

postTransform

protected weka.core.Instances postTransform(weka.core.Instances instances,
                                            Map<String,Object> params)
                                     throws Exception

Postprocesses the data.

Specified by:

postTransform in class AbstractPLS

Parameters:

instances - the data to process

params - additional parameters

Returns:

the postprocessed data

Throws:

Exception