HMM< T > Class Template Reference

Collaboration diagram for HMM< T >:

[legend]

List of all members.

Classes
struct	Path
struct	SeqInfo
Public Member Functions
	HMM (const std::vector< T > &states, const std::vector< T > &observations, const std::string &name="")
	~HMM ()
	Destructor.
void	setStateTransition (const T fromState, const T toState, double prob)
	Set the state transitions.
void	setStateEmission (const T state, const T emission, double prob)
	The state emission probability.
void	setCurrentState (const T state, double prob)
	Set the current prob of which state we are in.
std::vector< T >	getLikelyStates (const std::vector< T > observations, double &maxPathProb=double())
void	iteratePath (const T observation)
	Iterate through the path given one observation.
double	forward (const std::vector< T > observations)
	Forward alg ie. compute P(Obj | currentHMMModel).
double	backward (const std::vector< T > observations)
	Backward alg.
void	train (const std::vector< std::vector< T > > observations, size_t numIterations)
void	train (const std::vector< T > observations, size_t numIterations)
void	computeXi (const std::vector< T > observations)
void	computeGamma (const std::vector< T > observations)
std::vector< T >	getMaxPath (double &maxPathProb)
	Get the max path so far.
void	show ()
	Show the internal states and observations of the HMM.
std::string	getName ()
	Get the hmm name.

---

Detailed Description

template<class T>
class HMM< T >

Definition at line 51 of file HMM.H.

---

Constructor & Destructor Documentation

template<class T >

HMM< T >::~HMM

(

)

[inline]

Destructor.

Definition at line 74 of file HMM.C.

---

Member Function Documentation

template<class T>

double HMM< T >::backward

(

const std::vector< T >

observations

)

[inline]

Backward alg.

Definition at line 299 of file HMM.C.

References Image< T >::getVal(), and sum().

Referenced by HMM< T >::train().

template<class T>

double HMM< T >::forward

(

const std::vector< T >

observations

)

[inline]

Forward alg ie. compute P(Obj | currentHMMModel).

Definition at line 237 of file HMM.C.

References Image< T >::getVal(), log(), and sum().

Referenced by HMM< T >::train().

template<class T>

std::vector< T > HMM< T >::getLikelyStates	(	const std::vector< T >	observations,
		double &	maxPathProb = double()
	)			[inline]

Find the most likely sequence of hidden states given the observations and return the probability of this path.

Definition at line 162 of file HMM.C.

References HMM< T >::getMaxPath(), and HMM< T >::iteratePath().

template<class T >

std::vector< T > HMM< T >::getMaxPath

(

double &

maxPathProb

)

[inline]

Get the max path so far.

Definition at line 178 of file HMM.C.

Referenced by HMM< T >::getLikelyStates().

template<class T>

std::string HMM< T >::getName

(

void

)

[inline]

Get the hmm name.

Definition at line 133 of file HMM.H.

template<class T>

void HMM< T >::iteratePath

(

const T

observation

)

[inline]

Iterate through the path given one observation.

Definition at line 201 of file HMM.C.

References Image< T >::getVal().

Referenced by HMM< T >::getLikelyStates().

template<class T>

void HMM< T >::setCurrentState	(	const T	state,
		double	prob
	)			[inline]

Set the current prob of which state we are in.

Definition at line 103 of file HMM.C.

template<class T>

void HMM< T >::setStateEmission	(	const T	state,
		const T	emission,
		double	prob
	)			[inline]

The state emission probability.

Definition at line 92 of file HMM.C.

References Image< T >::setVal().

template<class T>

void HMM< T >::setStateTransition	(	const T	fromState,
		const T	toState,
		double	prob
	)			[inline]

Set the state transitions.

Definition at line 81 of file HMM.C.

References Image< T >::setVal().

template<class T >

void HMM< T >::show

(

)

[inline]

Show the internal states and observations of the HMM.

Definition at line 114 of file HMM.C.

References Image< T >::getHeight(), Image< T >::getVal(), and Image< T >::getWidth().

template<class T>

void HMM< T >::train	(	const std::vector< T >	observations,
		size_t	numIterations
	)			[inline]

Train the model by changing the state transitions and state emittions for the given observation batch update per Fundamentals of Speech Recognition - by Lawrence Rabiner , Biing-Hwang Juang

Definition at line 336 of file HMM.C.

References HMM< T >::backward(), HMM< T >::forward(), and Image< T >::setVal().

template<class T>

void HMM< T >::train	(	const std::vector< std::vector< T > >	observations,
		size_t	numIterations
	)			[inline]

Train the model by changing the state transitions and state emittions for the given observation

Definition at line 421 of file HMM.C.

References HMM< T >::backward(), exp(), HMM< T >::forward(), gamma(), and Image< T >::setVal().

---

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

• src/Learn/HMM.H
• src/Learn/HMM.C