crn::GaussianSCHMM Class Reference

Semi-continuous gaussian HMM class. More...

#include <CRNGaussianSCHMM.h>

Inheritance diagram for crn::GaussianSCHMM:

Collaboration diagram for crn::GaussianSCHMM:

Public Member Functions
	GaussianSCHMM (size_t nstates, size_t nsymbs)
	Constructor. More...
	GaussianSCHMM (const GaussianSCHMM &h)=default
	Copy constructor. More...
virtual	~GaussianSCHMM () override
	Destructor. More...
GaussianSCHMM &	operator= (const GaussianSCHMM &)=default
	GaussianSCHMM (GaussianSCHMM &&)=default
GaussianSCHMM &	operator= (GaussianSCHMM &&)=default
size_t	GetNbStates () const noexcept
	Returns the number of states. More...
size_t	GetSymbolDimension () const noexcept
	Returns the dimension of observable symbol space. More...
SquareMatrixDouble	GetStateTransitionProbability () const
	Returns the state transition probability matrix. More...
MatrixDouble	GetFirstStateProbability () const
	Returns the first state probability matrix. More...
const std::vector < MultivariateGaussianMixture > &	GetStateGivenSymbolProbability () const
	Returns all the state probability laws. More...
MultivariateGaussianMixture	GetStateGivenSymbolProbability (size_t k) const
	Returns a state probability law. More...
MatrixDouble	GetStateGivenSymbolProbability (const MatrixDouble &x) const
	Returns all the state probabilities for a symbol. More...
double	GetStateGivenSymbolProbability (size_t k, const MatrixDouble &x) const
	Returns a state probability for a symbol. More...
void	SetStateTransitionProbability (const SquareMatrixDouble &a)
	Sets the state transition probability matrix. More...
void	SetFirstStateProbability (const MatrixDouble &p)
	Sets the first state probability matrix. More...
void	BaumWelchSingle (const MatrixDouble &observed, unsigned int maxIter)
	Learning from one sequence. More...
Public Member Functions inherited from crn::Object
virtual	~Object ()=default

Detailed Description

Semi-continuous gaussian HMM class.

Semi-continuous gaussian Hidden Markov Model

Author

Jean DUONG

Date

September 2008

Version

0.2

Definition at line 41 of file CRNGaussianSCHMM.h.

Constructor & Destructor Documentation

GaussianSCHMM::GaussianSCHMM	(	size_t	nstates,
		size_t	nsymbs
	)

Constructor.

Constructor

Parameters

[in]	nstates	number of states
[in]	nsymbs	number of symbols

Definition at line 43 of file CRNGaussianSCHMM.cpp.

crn::GaussianSCHMM::GaussianSCHMM ( const GaussianSCHMM &  h )

default

Copy constructor.

virtual crn::GaussianSCHMM::~GaussianSCHMM ( )

inlineoverridevirtual

Destructor.

Definition at line 50 of file CRNGaussianSCHMM.h.

crn::GaussianSCHMM::GaussianSCHMM ( GaussianSCHMM &&  )

default

Member Function Documentation

void GaussianSCHMM::BaumWelchSingle	(	const MatrixDouble &	Observed,
		unsigned int	MaxIter
	)

Learning from one sequence.

HMM model training with Baum-Welch procedure. Training with one observation sequence.

Parameters

[in]	Observed	the observed sequence
[in]	MaxIter	the maximum number of iterations

Definition at line 220 of file CRNGaussianSCHMM.cpp.

MatrixDouble crn::GaussianSCHMM::GetFirstStateProbability ( ) const

inline

Returns the first state probability matrix.

Definition at line 64 of file CRNGaussianSCHMM.h.

size_t crn::GaussianSCHMM::GetNbStates ( ) const

inlinenoexcept

Returns the number of states.

Definition at line 57 of file CRNGaussianSCHMM.h.

const std::vector<MultivariateGaussianMixture>& crn::GaussianSCHMM::GetStateGivenSymbolProbability ( ) const

inline

Returns all the state probability laws.

Definition at line 66 of file CRNGaussianSCHMM.h.

MultivariateGaussianMixture GaussianSCHMM::GetStateGivenSymbolProbability

(

size_t

k

)

const

Returns a state probability law.

Return a state probability law

Parameters

[in]

k

the state

Exceptions

ExceptionDomain

index value out of range

Returns

the state probability law

Definition at line 59 of file CRNGaussianSCHMM.cpp.

MatrixDouble GaussianSCHMM::GetStateGivenSymbolProbability

(

const MatrixDouble &

x

)

const

Returns all the state probabilities for a symbol.

Return all the state probabilities for a symbol

Parameters

[in]

x

the symbol (a column vector)

Exceptions

ExceptionDimension

the vector has bad dimensions

Returns

all the state probabilities (a column vector)

Definition at line 93 of file CRNGaussianSCHMM.cpp.

double GaussianSCHMM::GetStateGivenSymbolProbability	(	size_t	k,
		const MatrixDouble &	x
	)		const

Returns a state probability for a symbol.

Return a state probability for a symbol

Parameters

[in]	k	the state
[in]	x	the symbol (a column vector)

Returns

the state probability

Definition at line 76 of file CRNGaussianSCHMM.cpp.

SquareMatrixDouble crn::GaussianSCHMM::GetStateTransitionProbability ( ) const

inline

Returns the state transition probability matrix.

Definition at line 62 of file CRNGaussianSCHMM.h.

size_t crn::GaussianSCHMM::GetSymbolDimension ( ) const

inlinenoexcept

Returns the dimension of observable symbol space.

Definition at line 59 of file CRNGaussianSCHMM.h.

GaussianSCHMM& crn::GaussianSCHMM::operator= ( const GaussianSCHMM &  )

default

GaussianSCHMM& crn::GaussianSCHMM::operator= ( GaussianSCHMM &&  )

default

void GaussianSCHMM::SetFirstStateProbability

(

const MatrixDouble &

p

)

Sets the first state probability matrix.

Set the first state probability matrix

Parameters

[in]

p

the new first state probability matrix

Definition at line 125 of file CRNGaussianSCHMM.cpp.

void GaussianSCHMM::SetStateTransitionProbability

(

const SquareMatrixDouble &

a

)

Sets the state transition probability matrix.

Set the state transition probability matrix

Parameters

[in]

a

the new state transition probability matrix

Definition at line 114 of file CRNGaussianSCHMM.cpp.

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

• /home/travis/build/Liris-Pleiad/libcrn/src/libcrn/CRNAI/CRNGaussianSCHMM.h
• /home/travis/build/Liris-Pleiad/libcrn/src/libcrn/CRNAI/CRNGaussianSCHMM.cpp