latest version v1.9 - last update 24 Nov 2005

lti::classifier::parameters Class Reference

the parameters for the class classifier More...

#include <ltiClassifier.h>

Inheritance diagram for lti::classifier::parameters:

[legend]Collaboration diagram for lti::classifier::parameters:

[legend]List of all members.

Public Types
enum	eDistanceMeasure { L1, L2 }
Public Member Functions
	parameters ()
	parameters (const parameters &other)
virtual	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
outputTemplate::eMultipleMode	multipleMode

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Detailed Description

the parameters for the class classifier

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Member Enumeration Documentation

enum lti::classifier::parameters::eDistanceMeasure

indicates the distance measure used for the classifier Enumerator: L1  L1-norm (sum of the absolut values) L2  L2-norm (square root of the sum of the squares)

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Constructor & Destructor Documentation

lti::classifier::parameters::parameters (   )

default constructor Reimplemented in lti::bagging::parameters, lti::clustering::parameters, lti::DBScan< T >::parameters, lti::hmmClassifier::parameters, lti::hmmOnlineClassifier::parameters, lti::MSTClustering< U >::parameters, lti::SOFM::parameters, lti::SOFM2D::parameters, and lti::unsupervisedClassifier::parameters.

lti::classifier::parameters::parameters (  const parameters &  other  )

copy constructor Parameters: other  the parameters object to be copied

virtual lti::classifier::parameters::~parameters (   )  [virtual]

destructor Reimplemented in lti::bagging::parameters, lti::clustering::parameters, lti::DBScan< T >::parameters, lti::hmmClassifier::parameters, lti::hmmOnlineClassifier::parameters, lti::MSTClustering< U >::parameters, lti::SOFM::parameters, lti::SOFM2D::parameters, and lti::unsupervisedClassifier::parameters.

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Member Function Documentation

virtual parameters* lti::classifier::parameters::clone (   )  const [virtual]

returns a pointer to a clone of the parameters Reimplemented in lti::bagging::parameters, lti::clustering::parameters, lti::DBScan< T >::parameters, lti::hmmClassifier::parameters, lti::hmmOnlineClassifier::parameters, lti::MSTClustering< U >::parameters, lti::SOFM::parameters, and lti::SOFM2D::parameters.

parameters& lti::classifier::parameters::copy (  const parameters &  other  )

copy the contents of a parameters object Parameters: other  the parameters object to be copied Returns: a reference to this parameters object

const char* lti::classifier::parameters::getTypeName (   )  const [virtual]

returns name of this type Reimplemented from lti::ioObject. Reimplemented in lti::bagging::parameters, lti::clustering::parameters, lti::DBScan< T >::parameters, lti::hmmClassifier::parameters, lti::hmmOnlineClassifier::parameters, lti::MSTClustering< U >::parameters, lti::SOFM::parameters, lti::SOFM2D::parameters, and lti::unsupervisedClassifier::parameters.

parameters& lti::classifier::parameters::operator= (  const parameters &  other  )  [inline]

Alias for copy.

virtual bool lti::classifier::parameters::read (  ioHandler &  handler, const bool  complete = true )  [virtual]

read the parameters from the given ioHandler Parameters: handler  the ioHandler to be used complete  if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written. Returns: true if write was successful Reimplemented from lti::ioObject. Reimplemented in lti::bagging::parameters, lti::clustering::parameters, lti::DBScan< T >::parameters, lti::hmmClassifier::parameters, lti::hmmOnlineClassifier::parameters, lti::MSTClustering< U >::parameters, lti::SOFM::parameters, and lti::SOFM2D::parameters.

virtual bool lti::classifier::parameters::write (  ioHandler &  handler, const bool  complete = true )  const [virtual]

write the parameters in the given ioHandler Parameters: handler  the ioHandler to be used complete  if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written. Returns: true if write was successful Reimplemented from lti::ioObject. Reimplemented in lti::bagging::parameters, lti::clustering::parameters, lti::DBScan< T >::parameters, lti::hmmClassifier::parameters, lti::hmmOnlineClassifier::parameters, lti::MSTClustering< U >::parameters, lti::SOFM::parameters, and lti::SOFM2D::parameters.

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Member Data Documentation

outputTemplate::eMultipleMode lti::classifier::parameters::multipleMode

Sets the mode the outputTemplate of the classifier works in, if it uses multipleIds. This option is usually fixed for all classifiers. unsupervised classifiers methods usually wont use multiple ids, whereas supervised classifiers will. The default is ObjProb. Setting this parameters only makes sense before using classify, since all information is recorded during training anyway.

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The documentation for this class was generated from the following file:

• ltiClassifier.h

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