lti::lvq Class Reference

LVQ-Net. More...

#include <ltiLvq.h>

Inheritance diagram for lti::lvq:

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Collaboration diagram for lti::lvq:

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List of all members.

Classes
class	layer
	lvq layer More...
class	lvq1TrainFunctor
	LVQ1. More...
class	lvq3TrainFunctor
	LVQ3. More...
class	lvq4TrainFunctor
	LVQ4. More...
class	maxDistInitFunctor
	maximum distance initialization More...
class	olvq1TrainFunctor
	OLVQ1. More...
class	olvq3TrainFunctor
	OLVQ3. More...
class	parameters
	the parameters for the class classifier More...
class	randInitFunctor
	random initialization More...
class	trainFunctor
	base class of training functors for the lvq networks More...
Public Member Functions
	lvq ()
	lvq (const lvq &other)
	~lvq ()
bool	train (const dmatrix &input, const ivector &ids)
bool	classify (const dvector &featurem, outputVector &result) const
int	getDimOutputLayer () const
void	setTestSet (const dmatrix &input, const ivector &ids)
void	setTrainSet2 (const dmatrix &input, const ivector &ids)
void	calcObjProbs (const ivector &ids, const dmatrix &feats, stdLayer::distancePropFunctor &distProp)
lvq &	copy (const lvq &other)
lvq &	operator= (const lvq &other)
virtual classifier *	clone () const
const parameters &	getParameters () const

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Detailed Description

LVQ-Net.

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Constructor & Destructor Documentation

lti::lvq::lvq

(

)

Constructor.

lti::lvq::lvq

(

const lvq &

other

)

Copy constructor.

lti::lvq::~lvq

(

)

Destructor.

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Member Function Documentation

void lti::lvq::calcObjProbs	(	const ivector &	ids,
		const dmatrix &	feats,
		stdLayer::distancePropFunctor &	distProp
	)

Calculate object probabilities with given features.

bool lti::lvq::classify	(	const dvector &	featurem,
		outputVector &	result
	)			const [virtual]

Propagation.

Propagates feature vector through the net

Implements lti::supervisedInstanceClassifier.

virtual classifier* lti::lvq::clone

(

)

const [virtual]

returns a pointer to a clone of this functor.

Implements lti::classifier.

lvq& lti::lvq::copy

(

const lvq &

other

)

copy data of "other" functor.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::supervisedInstanceClassifier.

Referenced by operator=().

int lti::lvq::getDimOutputLayer

(

)

const [inline]

dimension of the output layer

return the dimensions of the output layer

References getParameters(), and lti::lvq::parameters::nbNeuronsPerClass.

const parameters& lti::lvq::getParameters

(

)

const

returns used parameters

Reimplemented from lti::supervisedInstanceClassifier.

Referenced by getDimOutputLayer().

lvq& lti::lvq::operator=

(

const lvq &

other

)

[inline]

Alias for copy.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::supervisedInstanceClassifier.

References copy().

void lti::lvq::setTestSet	(	const dmatrix &	input,
		const ivector &	ids
	)

Gets the test-data for training statistics.

void lti::lvq::setTrainSet2	(	const dmatrix &	input,
		const ivector &	ids
	)

Gets the disjunct training data for object probabilities.

bool lti::lvq::train	(	const dmatrix &	input,
		const ivector &	ids
	)			[virtual]

Supervised training.

(LVQ) The vectors in the input sequence must be trained using as "known" classes the values given in ids.

Parameters:

	input	the sequence of input vectors
	ids	the output classes ids for the input vectors.

Implements lti::supervisedInstanceClassifier.

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

• ltiLvq.h