Package weka.classifiers.functions

Class PLSClassifierWeightedWithLoadings

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.functions.PLSClassifierWeighted

weka.classifiers.functions.PLSClassifierWeightedWithLoadings

All Implemented Interfaces:

Serializable, Cloneable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, PLSMatrixAccess, weka.core.RevisionHandler, weka.core.WeightedInstancesHandler

public class PLSClassifierWeightedWithLoadings
extends PLSClassifierWeighted
implements PLSMatrixAccess

A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.

Allows access to the PLS matrices in case the filter is a PLSFilterWithLoadings instance.

Valid options are:

 -filter <filter specification>
  The PLS filter to use. Full classname of filter to include,  followed by scheme options.
  (default: weka.filters.supervised.attribute.PLSFilter)

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

 
 Options specific to filter weka.filters.supervised.attribute.PLSFilter ('-filter'):
 

 -D
  Turns on output of debugging information.

 -C <num>
  The number of components to compute.
  (default: 20)

 -U
  Updates the class attribute as well.
  (default: off)

 -M
  Turns replacing of missing values on.
  (default: off)

 -A <SIMPLS|PLS1>
  The algorithm to use.
  (default: PLS1)

 -P <none|center|standardize>
  The type of preprocessing that is applied to the data.
  (default: center)

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.functions.PLSClassifierWeighted

m_ActualFilter, m_Filter

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor	Description
PLSClassifierWeightedWithLoadings()

Method Summary

Modifier and Type	Method	Description
weka.filters.supervised.attribute.PLSFilter	getDefaultFilter()	Returns the default PLS filter.
weka.core.matrix.Matrix	getPLS1bHat()	Returns the PLS1 b "hat" matrix.
weka.core.matrix.Matrix	getPLS1P()	Returns the PLS1 P matrix.
weka.core.matrix.Matrix	getPLS1RegVector()	Returns the reg vector.
weka.core.matrix.Matrix	getPLS1W()	Returns the PLS1 W matrix.
String	getRevision()	Returns the revision string.
weka.core.matrix.Matrix	getSimplsB()	Returns the SIMPLS B matrix.
weka.core.matrix.Matrix	getSimplsW()	Returns the SIMPLS W matrix.
String	globalInfo()	Returns a string describing classifier
static void	main(String[] args)	Main method for running this classifier from commandline.

Methods inherited from class weka.classifiers.functions.PLSClassifierWeighted

buildClassifier, classifyInstance, filterTipText, getCapabilities, getFilter, getOptions, listOptions, setFilter, setOptions, toString

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Constructor Detail

PLSClassifierWeightedWithLoadings

public PLSClassifierWeightedWithLoadings()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing classifier

Overrides:

globalInfo in class PLSClassifierWeighted

Returns:

a description suitable for displaying in the explorer/experimenter gui

getDefaultFilter

public weka.filters.supervised.attribute.PLSFilter getDefaultFilter()

Returns the default PLS filter.

Overrides:

getDefaultFilter in class PLSClassifierWeighted

Returns:

the default filter

getPLS1RegVector

public weka.core.matrix.Matrix getPLS1RegVector()

Returns the reg vector.

Specified by:

getPLS1RegVector in interface PLSMatrixAccess

Returns:

the vector

getPLS1P

public weka.core.matrix.Matrix getPLS1P()

Returns the PLS1 P matrix.

Specified by:

getPLS1P in interface PLSMatrixAccess

Returns:

the matrix

getPLS1W

public weka.core.matrix.Matrix getPLS1W()

Returns the PLS1 W matrix.

Specified by:

getPLS1W in interface PLSMatrixAccess

Returns:

the matrix

getPLS1bHat

public weka.core.matrix.Matrix getPLS1bHat()

Returns the PLS1 b "hat" matrix.

Specified by:

getPLS1bHat in interface PLSMatrixAccess

Returns:

the matrix

getSimplsW

public weka.core.matrix.Matrix getSimplsW()

Returns the SIMPLS W matrix.

Specified by:

getSimplsW in interface PLSMatrixAccess

Returns:

the matrix

getSimplsB

public weka.core.matrix.Matrix getSimplsB()

Returns the SIMPLS B matrix.

Specified by:

getSimplsB in interface PLSMatrixAccess

Returns:

the matrix

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class PLSClassifierWeighted

Returns:

the revision

main

public static void main(String[] args)

Main method for running this classifier from commandline.

Parameters:

args - the options