This class is a geneal MMSD Law. More...

#include <MMSD_Law.h>

Inheritance diagram for MMSD_Law:

Collaboration diagram for MMSD_Law:

Public Member Functions
const MMSD_DoubleFullMatrix &	getPropertiesMatrixMultByCovarianceDecompositionMatrix () const
	get the properties matrix multiplied by covariance matrix decomposition matrix More...

const MMSD_DoubleFullMatrix &	getCovarianceDecompositionMatrix () const
	get the covariance matrix decomposition matrix More...

const MMSD_DoubleVector &	getCovarianceDecompositionDiagonal () const
	get the covariance matrix decomposition diagonal More...

const MMSD_DoubleVector &	getMean () const
	get the mean of the law More...

void	setMinEigenValue (const double &v)
	set the min eigen value available be default 1.e-16 see MMSD_Law::initialize() More...

double	getMinEigenValue () const
	get the min eigen value available More...

virtual tBoolean	isOutOfBounds () const
	test if the parameters of law are out of bounds ie if (D[i] < mMinEigenValue[i]) More...

virtual void	restore (const MMSD_DoubleFullMatrix &properties)
	restore the unstored values after a backup More...

virtual void	initialize (const int &clusterIndex, const int &samplesNumber, const MMSD_IntegerVector &clustersIndex, const MMSD_DoubleFullMatrix &properties)
	initialization of the parameters opf the law More...

virtual void	optimizeParameters (const MMSD_DoubleFullMatrix &weights, const MMSD_DoubleVector &probs, const MMSD_DoubleFullMatrix &Y)
	optimizes the parameters of the law More...

void	sort (MMSD_DoubleVector &nus)
	sorts the law parameters & the array in argument in order to be to the same order than the D diagonal matrix of Y eigen value decomposition More...

void	setHasBeenLoaded (const tBoolean &v)
	set the if the object has completely been loaded More...

tBoolean	hasBeenLoaded () const
	return true if the object has completely been loaded More...

void	getSharedPointer (SP::CORE_Object &p)
	get the shared pointer of this class into p More...

void	getSharedPointer (SPC::CORE_Object &p) const
	get the shared pointer of this class into p More...

tString	getClassName () const
	return the class name of the object More...

tString	getIdentityString () const
	return the identity string of the object of the form className_at_address More...

tString	getPointerAddress () const
	return the identity string of the object More...

template<class T >
tBoolean	isInstanceOf () const
	return true if the object is an instance of T More...

virtual void	print ()
	print the class More...

virtual ostream &	print (ostream &out) const
	print the class More...

virtual void	print (const tString &message)
	print the class More...

virtual void	print (const tInteger &str)
	print More...

virtual void	print (const tRelativeInteger &str)
	print More...

virtual void	print (const tReal &str)
	print More...

virtual void	print (const int &str)
	print More...

Static Public Member Functions
static void	initSeed (const long int &v)
	init the seed with v value More...

static void	initSeed ()
	init the seed More...

static tString	getClassName (const tString &identityString)
	return the class name of the object using only the identity string More...

template<class T >
static tString	getTypeName ()
	get type name More...

static tBoolean	is64Architecture ()
	return true if the machine is a 64 bits machine More...

static tBoolean	is32Architecture ()
	return true if the machine is a 32 bits machine More...

static tString	pointer2String (const void *obj)
	return the string represantation of a pointer More...

static void	setOutput (ostream &out)
	set output More...

static ostream &	getOutput ()
	get output More...

static void	printObjectsInMemory ()
	print object in memory More...

static ostream &	print (ostream &out, const tString &message)
	print the class More...

static void	outputPrint (const tString &message)

Static Public Attributes
static tBoolean	mIsMemoryTesting =false
	indicator to store all classes created and deleted only for debuging version More...

Protected Member Functions
	MMSD_Law (void)
	create an object More...

virtual	~MMSD_Law (void)
	destroy an object. More...

virtual void	updateMean (const MMSD_DoubleFullMatrix &P, const MMSD_DoubleFullMatrix &YP, const MMSD_DoubleFullMatrix &W, const MMSD_DoubleVector &probs, MMSD_DoubleVector &mean)=0
	updates the mean value More...

virtual void	updateCovarianceDecompositionMatrix (const MMSD_DoubleFullMatrix &Y, const MMSD_DoubleVector &Diag, const MMSD_DoubleVector &mean, const MMSD_DoubleFullMatrix &W, const MMSD_DoubleVector &probs, MMSD_DoubleFullMatrix &P, MMSD_DoubleFullMatrix &YP)=0
	updates the matrix P of eigen value decomposition of covariance of Y More...

virtual void	updateCovarianceDecompositionDiagonal (const MMSD_DoubleFullMatrix &P, const MMSD_DoubleFullMatrix &YP, const MMSD_DoubleVector &mean, const MMSD_DoubleFullMatrix &W, const MMSD_DoubleVector &probs, MMSD_DoubleVector &D)=0
	updates the diagonal matrix D of eigen value decomposition of covariance of Y More...

virtual void	saveToUIClass (UI_Class &mclass) const
	how to save the object from a mate model class More...

virtual void	loadFromUIClass (const UI_Class &mclass)
	how to load the object from a Meta Model class More...

virtual tString	toString () const
	turn the class into string More...

void	setThis (SP::CORE_Object p)
	set this weak shared pointer called toDoAfterThis setting method More...

virtual void	setType (tString type)
	set the type of the object More...

virtual void	toDoAfterThisSetting ()
	method called after setThis() method this method can oly be called once. More...

Detailed Description

This class is a geneal MMSD Law.

A law describes the samples distribution in the cluster;

a mean value of each properties (vector of size P, number of properties, see MMSD_Law::getMean())
the property covariance matrix divided in 2 parts:
- the eigen value decomposition diagonal matrix (vector of size P)
- the eigen value decomposition matrix (matrix of size PxP)

The initialization of the eigen value decomposition matrices are done by MMSD_Law::initialize() method.

The updating methods of the mean & the eigen value decomposition matrices must be specialized depending on the law and it is performed bu the method MMSD_Law::optimizeParameters() depending on cluster weights, sample probablities to be in cluster array and the properties matrix:

MMSD_Law::updateMean()
MMSD_Law::updateCovarianceDecompositionMatrix()
MMSD_Law::updateCovarianceDecompositionDiagonal()

Author
Stephane Despreaux

Version
1.0

Constructor & Destructor Documentation

MMSD_Law::MMSD_Law ( void )

protected

create an object

References CORE_Object::setType().

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MMSD_Law::~MMSD_Law ( void )

protectedvirtual

destroy an object.

Member Function Documentation

static tString CORE_Object::getClassName ( const tString & identityString )

inlinestaticinherited

return the class name of the object using only the identity string

Referenced by UI_Class::createVector2D(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), and CORE_Object::printObjectsInMemory().

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tString CORE_Object::getClassName ( ) const

inherited

return the class name of the object

Returns: the class name of the object

References tString.

Referenced by CORE_Object::getIdentityString().

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const MMSD_DoubleVector& MMSD_Law::getCovarianceDecompositionDiagonal ( ) const

inline

get the covariance matrix decomposition diagonal

Referenced by testGaussianLaw11N(), testGaussianLaw1PN(), and testGaussianLaw2PN().

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const MMSD_DoubleFullMatrix& MMSD_Law::getCovarianceDecompositionMatrix ( ) const

inline

get the covariance matrix decomposition matrix

Referenced by testGaussianLaw11N(), testGaussianLaw1PN(), and testGaussianLaw2PN().

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tString CORE_Object::getIdentityString ( ) const

inlineinherited

return the identity string of the object of the form className_at_address

Returns: the identity string of the object

References CORE_Object::getClassName(), CORE_Object::pointer2String(), and tString.

Referenced by UI_Class::createPrimitiveMap(), UI_Class::saveAssociation(), UI_Class::saveClass(), UI_ClassFactory::saveIntoClass(), MATH_StiefelFunction::toString(), LAP_2DView::toString(), CORE_Object::toString(), MATH_StiefelOptimizer::toString(), and MM_Class::toString().

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const MMSD_DoubleVector& MMSD_Law::getMean ( ) const

inline

get the mean of the law

Referenced by testGaussianLaw11N(), testGaussianLaw1PN(), and testGaussianLaw2PN().

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double MMSD_Law::getMinEigenValue ( ) const

inline

get the min eigen value available

see MMSD_Law::initialize()

Referenced by MMSD_GaussianLaw::updateCovarianceDecompositionDiagonal().

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static ostream& CORE_Object::getOutput ( )

inlinestaticinherited

get output

tString CORE_Object::getPointerAddress ( ) const

inlineinherited

return the identity string of the object

Returns: the identity string of the object

References CORE_Object::pointer2String().

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const MMSD_DoubleFullMatrix& MMSD_Law::getPropertiesMatrixMultByCovarianceDecompositionMatrix ( ) const

inline

get the properties matrix multiplied by covariance matrix decomposition matrix

Referenced by testGaussianLaw11N(), and testGaussianLaw1PN().

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void CORE_Object::getSharedPointer ( SP::CORE_Object & p )

inlineinherited

get the shared pointer of this class into p

Referenced by CORE_Map< Key, Value >::getSharedPointer(), CORE_Array< tFlag >::getSharedPointer(), LAP_ConstVector< lapack_real >::getSharedPointer(), STAT_Combinatorial< T >::getSharedPointer(), LAP_Vector< lapack_int >::getSharedPointer(), CORE_Vector< T >::getSharedPointer(), CORE_Matrix< T >::getSharedPointer(), and CORE_Object::printObjectsInMemory().

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void CORE_Object::getSharedPointer ( SPC::CORE_Object & p ) const

inlineinherited

get the shared pointer of this class into p

template<class T >

static tString CORE_Object::getTypeName ( )

inlinestaticinherited

get type name

References tString.

tBoolean UI_Object::hasBeenLoaded ( ) const

inlineinherited

return true if the object has completely been loaded

Referenced by UI_Class::loadAssociation().

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void MMSD_Law::initialize	(	const int &	clusterIndex,
		const int &	samplesNumber,
		const MMSD_IntegerVector &	clustersIndex,
		const MMSD_DoubleFullMatrix &	properties
	)

virtual

initialization of the parameters opf the law

Parameters

clusterIndex:index	of the cluster of wicth belongs the law
samplesNumber	number of samples in cluster clusterIndex
clustersIndex	cluster index of samples
properties	: properties matrix

P is the number of properties & N the number of samples.

resizes to P & initializes the mean value
resizes to NxP & initializes YP to Y
allocates to PxP & computes the covariance matrix of Y
computes the eigen components of covariance matrix & stores then in P ( PxP) matrix & D (P) diagonal vector such that COV=tP. D . P
verify each element of D is not lower than minEigenValue (see MMSD_Law::setMinEigenValue())
reorder P & D such than the eigen values are in decrease order.
compute YP=Y.P.

Reimplemented in MMSD_FluryGautschiGaussianLaw, and MMSD_StiefelGaussianLaw.

References MMSD_DoubleFullMatrix::computeCovarianceMatrix(), MMSD_DoubleSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullGeneralMatrix::getColumnsNumber(), LAP_DoubleFullGeneralMatrix::getRowsNumber(), LAP_DoubleFullGeneralMatrix::matrixProduct(), MMSD_DoubleSymmetricMatrix::PACKED_STORAGE, LAP_Vector< T >::reverse(), LAP_DoubleFullGeneralMatrix::reverseColumns(), LAP_DoubleFullGeneralMatrix::setSize(), MMSD_DoubleSymmetricMatrix::setSize(), LAP_Vector< T >::setSize(), and MMSD_DoubleSymmetricMatrix::setStorage().

Referenced by MMSD_StiefelGaussianLaw::initialize(), and MMSD_FluryGautschiGaussianLaw::initialize().

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void MMSD_Object::initSeed ( const long int & v )

staticinherited

init the seed with v value

References STAT_Distribution::initSeed().

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void MMSD_Object::initSeed ( )

staticinherited

init the seed

References CORE_Time::getTime().

Referenced by MMSD_Object::MMSD_Object(), testGaussianLaw11N(), testGaussianLaw1PN(), and testGaussianLaw2PN().

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static tBoolean CORE_Object::is32Architecture ( )

inlinestaticinherited

return true if the machine is a 32 bits machine

References CORE_Object::is64Architecture().

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tBoolean CORE_Object::is64Architecture ( )

staticinherited

return true if the machine is a 64 bits machine

Referenced by CORE_Object::is32Architecture().

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template<class T >

tBoolean CORE_Object::isInstanceOf ( ) const

inlineinherited

return true if the object is an instance of T

References null.

tBoolean MMSD_Law::isOutOfBounds ( ) const

virtual

test if the parameters of law are out of bounds ie if (D[i] < mMinEigenValue[i])

References LAP_Vector< T >::getSize().

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void MMSD_Law::loadFromUIClass ( const UI_Class & mclass )

protectedvirtual

how to load the object from a Meta Model class

Reimplemented from UI_Object.

References UI_Class::loadField(), UI_Class::loadFullMatrixField(), LAP_DoubleFullGeneralMatrix::setValues(), LAP_Vector< T >::setValues(), and tBoolean.

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virtual void MMSD_Law::optimizeParameters	(	const MMSD_DoubleFullMatrix &	weights,
		const MMSD_DoubleVector &	probs,
		const MMSD_DoubleFullMatrix &	Y
	)

inlinevirtual

optimizes the parameters of the law

call successivly:

MMSD_Law::updateMean() to update mMean of size P
MMSD_Law::updateCovarianceDecompositionDiagonal() to update mD of size P
MMSD_Law::updateCovarianceDecompositionMatrix() to update mP of size PxP & mYP of size NxP

References updateCovarianceDecompositionDiagonal(), updateCovarianceDecompositionMatrix(), and updateMean().

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void CORE_Object::outputPrint ( const tString & message )

staticinherited

print on output

References null, and CORE_Object::print().

Referenced by CORE_Exception::CORE_Exception().

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tString CORE_Object::pointer2String ( const void * obj )

staticinherited

return the string represantation of a pointer

References tString.

Referenced by CORE_Object::CORE_Object(), CORE_Object::getIdentityString(), CORE_Object::getPointerAddress(), and CORE_Object::~CORE_Object().

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virtual void CORE_Object::print ( )

inlinevirtualinherited

print the class

References CORE_Object::toString().

Referenced by CORE_Object::outputPrint(), CORE_Out::print(), CORE_Object::print(), CORE_Out::printInt(), CORE_Out::println(), CORE_Out::printReal(), CORE_Out::printString(), and CORE_Out::setAction().

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virtual ostream& CORE_Object::print ( ostream & out ) const

inlinevirtualinherited

print the class

References CORE_Object::print(), and CORE_Object::toString().

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void CORE_Object::print ( const tString & message )

virtualinherited

print the class

Reimplemented in CORE_Out.

References null, and CORE_Object::print().

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void CORE_Object::print ( const tInteger & str )

virtualinherited

print

References null.

void CORE_Object::print ( const tRelativeInteger & str )

virtualinherited

print

References null.

void CORE_Object::print ( const tReal & str )

virtualinherited

print

References null.

void CORE_Object::print ( const int & str )

virtualinherited

print

References null.

static ostream& CORE_Object::print	(	ostream &	out,
		const tString &	message
	)

inlinestaticinherited

print the class

void CORE_Object::printObjectsInMemory ( )

staticinherited

print object in memory

References CORE_Object::getClassName(), CORE_Object::getSharedPointer(), and CORE_Object::mIsMemoryTesting.

Referenced by main().

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void MMSD_Law::restore ( const MMSD_DoubleFullMatrix & properties )

virtual

restore the unstored values after a backup

Thanks to the properties matrix Y, recompute the matrix P.Y

Reimplemented in MMSD_FluryGautschiGaussianLaw, and MMSD_StiefelGaussianLaw.

References LAP_DoubleFullGeneralMatrix::matrixProduct().

Referenced by MMSD_StiefelGaussianLaw::restore(), and MMSD_FluryGautschiGaussianLaw::restore().

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void MMSD_Law::saveToUIClass ( UI_Class & mclass ) const

protectedvirtual

how to save the object from a mate model class

Reimplemented from UI_Object.

References LAP_DoubleFullGeneralMatrix::getColumnsNumber(), LAP_DoubleFullGeneralMatrix::getRowsNumber(), LAP_Vector< T >::getSize(), LAP_DoubleMatrix::getStorage(), LAP_DoubleMatrixStorage::getValues(), LAP_Vector< T >::getValues(), UI_Class::saveField(), and UI_Class::saveFullMatrixField().

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void UI_Object::setHasBeenLoaded ( const tBoolean & v )

inlineinherited

set the if the object has completely been loaded

Referenced by UI_Class::loadAssociation().

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void MMSD_Law::setMinEigenValue ( const double & v )

inline

set the min eigen value available be default 1.e-16 see MMSD_Law::initialize()

static void CORE_Object::setOutput ( ostream & out )

inlinestaticinherited

set output

void CORE_Object::setThis ( SP::CORE_Object p )

inlineprotectedinherited

set this weak shared pointer called toDoAfterThis setting method

References CORE_Object::toDoAfterThisSetting().

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virtual void CORE_Object::setType ( tString type )

inlineprotectedvirtualinherited

set the type of the object

Referenced by LAP_IntegerVector::LAP_IntegerVector(), MATH_BetaFunction::MATH_BetaFunction(), MATH_C1Function::MATH_C1Function(), MATH_DigammaFunction::MATH_DigammaFunction(), MATH_EigenFunction::MATH_EigenFunction(), MATH_Equation::MATH_Equation(), MATH_Function::MATH_Function(), MATH_GammaFunction::MATH_GammaFunction(), MATH_KeplerFunction::MATH_KeplerFunction(), MATH_LogGammaFunction::MATH_LogGammaFunction(), MATH_NewtonEquation::MATH_NewtonEquation(), MATH_StiefelFunction::MATH_StiefelFunction(), MATH_StiefelOptimizer::MATH_StiefelOptimizer(), MATH_TranscendentEquation::MATH_TranscendentEquation(), MATH_TrigammaFunction::MATH_TrigammaFunction(), MATH_ZeroEquation::MATH_ZeroEquation(), MATH_ZKeplerFunction::MATH_ZKeplerFunction(), MM_Attribute::MM_Attribute(), MM_Class::MM_Class(), MM_ClassFactory::MM_ClassFactory(), MM_Data::MM_Data(), MM_Structure::MM_Structure(), MMSD_ClassFactory::MMSD_ClassFactory(), MMSD_Cluster::MMSD_Cluster(), MMSD_ConstDoubleVector::MMSD_ConstDoubleVector(), MMSD_ConstraintGaussianCluster::MMSD_ConstraintGaussianCluster(), MMSD_ConstraintGaussianModel::MMSD_ConstraintGaussianModel(), MMSD_DataSet::MMSD_DataSet(), MMSD_DataSetClassFactory::MMSD_DataSetClassFactory(), MMSD_DoubleFullMatrix::MMSD_DoubleFullMatrix(), MMSD_DoubleSymmetricMatrix::MMSD_DoubleSymmetricMatrix(), MMSD_DoubleVector::MMSD_DoubleVector(), MMSD_FluryGautschiGaussianLaw::MMSD_FluryGautschiGaussianLaw(), MMSD_GaussianCluster::MMSD_GaussianCluster(), MMSD_GaussianFDFunction::MMSD_GaussianFDFunction(), MMSD_GaussianLaw::MMSD_GaussianLaw(), MMSD_GaussianModel::MMSD_GaussianModel(), MMSD_Law(), MMSD_Model::MMSD_Model(), MMSD_ModelClassFactory::MMSD_ModelClassFactory(), MMSD_Object::MMSD_Object(), MMSD_StiefelFunction::MMSD_StiefelFunction(), MMSD_StiefelGaussianLaw::MMSD_StiefelGaussianLaw(), STAT_BernoulliDistribution::STAT_BernoulliDistribution(), STAT_BinomialDistribution::STAT_BinomialDistribution(), STAT_Combinatorial< T >::STAT_Combinatorial(), STAT_DiracDistribution::STAT_DiracDistribution(), STAT_Distribution::STAT_Distribution(), STAT_ExponentialDistribution::STAT_ExponentialDistribution(), STAT_GammaDistribution::STAT_GammaDistribution(), STAT_GeometricDistribution::STAT_GeometricDistribution(), STAT_InverseNormalDistribution::STAT_InverseNormalDistribution(), STAT_NormalDistribution::STAT_NormalDistribution(), STAT_Object::STAT_Object(), STAT_PoissonDistribution::STAT_PoissonDistribution(), STAT_UniformDistribution::STAT_UniformDistribution(), and STAT_UniformLaplaceTransform::STAT_UniformLaplaceTransform().

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void MMSD_Law::sort ( MMSD_DoubleVector & nus )

sorts the law parameters & the array in argument in order to be to the same order than the D diagonal matrix of Y eigen value decomposition

see MMSD_Law::initialization()

References LAP_Vector< T >::getSize(), and tBoolean.

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virtual void CORE_Object::toDoAfterThisSetting ( )

inlineprotectedvirtualinherited

method called after setThis() method this method can oly be called once.

Reimplemented in STAT_UniformLaplaceTransform.

Referenced by CORE_Object::setThis(), and STAT_UniformLaplaceTransform::toDoAfterThisSetting().

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virtual tString MMSD_Law::toString ( ) const

inlineprotectedvirtual

turn the class into string

Reimplemented from CORE_Object.

Reimplemented in MMSD_FluryGautschiGaussianLaw, MMSD_GaussianLaw, and MMSD_StiefelGaussianLaw.

References CORE_Object::toString(), and tString.

Referenced by MMSD_GaussianLaw::toString().

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virtual void MMSD_Law::updateCovarianceDecompositionDiagonal	(	const MMSD_DoubleFullMatrix &	P,
		const MMSD_DoubleFullMatrix &	YP,
		const MMSD_DoubleVector &	mean,
		const MMSD_DoubleFullMatrix &	W,
		const MMSD_DoubleVector &	probs,
		MMSD_DoubleVector &	D
	)

protectedpure virtual

updates the diagonal matrix D of eigen value decomposition of covariance of Y

Parameters

P	:eigen value matrix decomposition of cov(Y)
YP	: matrix vector product Y.P of size NxP
mean	: mean vector of size P
W	: Weight matrix of size NxP
probs	: probability vector of size N
D	: output eigen value diagonal matrix decomposition of cov(Y) of size P

Implemented in MMSD_GaussianLaw.

Referenced by optimizeParameters().

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virtual void MMSD_Law::updateCovarianceDecompositionMatrix	(	const MMSD_DoubleFullMatrix &	Y,
		const MMSD_DoubleVector &	Diag,
		const MMSD_DoubleVector &	mean,
		const MMSD_DoubleFullMatrix &	W,
		const MMSD_DoubleVector &	probs,
		MMSD_DoubleFullMatrix &	P,
		MMSD_DoubleFullMatrix &	YP
	)

protectedpure virtual

updates the matrix P of eigen value decomposition of covariance of Y

Parameters

Y	: properties matrix of size NxP
Diag	: eigen value diagonal matrix decomposition of cov(Y)
mean	: mean vector of size P
W	: Weight matrix of size NxP
probs	: probability vector of size N
P	: output eigen value matrix decomposition of cov(Y) of size PxP
YP	: output matrix vector product Y.P of size NxP

Implemented in MMSD_FluryGautschiGaussianLaw, and MMSD_StiefelGaussianLaw.

Referenced by optimizeParameters().

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virtual void MMSD_Law::updateMean	(	const MMSD_DoubleFullMatrix &	P,
		const MMSD_DoubleFullMatrix &	YP,
		const MMSD_DoubleFullMatrix &	W,
		const MMSD_DoubleVector &	probs,
		MMSD_DoubleVector &	mean
	)

protectedpure virtual

updates the mean value

Parameters

P	: eigen value matrix decomposition of cov(Y)
YP	: matrix vector product Y.P of size NxP
W	: Weight matrix of size NxP
probs	: probability vector of size N
mean	: output mean vector of size P

Implemented in MMSD_GaussianLaw.

Referenced by optimizeParameters().

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Member Data Documentation

tBoolean CORE_Object::mIsMemoryTesting =false

staticinherited

indicator to store all classes created and deleted only for debuging version

Referenced by CORE_Object::CORE_Object(), main(), CORE_Object::printObjectsInMemory(), and CORE_Object::~CORE_Object().

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

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation