constanze::BaumWelch Class Reference

this class implement Baum-Welch algorithm Literature: TODO

#include <BaumWelch.hpp>

Collaboration diagram for constanze::BaumWelch:

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List of all members.

Public Member Functions
HMM *	baumWelch (HMM *initialHMM, std::vector< int > *observationVector, int iterations)
	baum-welch algorithm. initialHMM: the Hidden Morcov Model, that was at begin initialized observationVector: states sequence iteration: the iterationen of execution of baum-welch algorithm
	BaumWelch ()
HMM *	getHMM ()
	interface to access HMM from external circumstance
	~BaumWelch ()
Private Member Functions
std::vector< std::vector < baumWelchDataType > * > *	backward (HMM *initialHMM, std::vector< int > *observationVector)
	implement backward algorithm. initialHMM: the HMM, that was at begin initialized observationVector: states sequence
baumWelchDataType	calculateGamma (int i, int t, std::vector< std::vector< baumWelchDataType > * > *forwardMatrix, std::vector< std::vector< baumWelchDataType > * > *backwardMatrix, HMM *h)
	calculate gamma value in state i and time t. i: state i t: time t forwardMatrix: the Matrix, that was calculated with forward procedure backwardMatrix: the Matrix, that was calculated with backward procedure h: object of Hidden Marcov Model
baumWelchDataType	calculateXi (int t, int i, int j, std::vector< int > *observationVector, std::vector< std::vector< baumWelchDataType > * > *forwardMatrix, std::vector< std::vector< baumWelchDataType > * > *backwardMatrix, HMM *h)
	calculate Xi function of baum-welch algorithm. t: time t i: state i j: state j observationVector: state sequence forwardMatrix: the Matrix, that was calculated with forward procedure backwardMatrix: the Matrix, that was calculated with backward procedure
baumWelchDataType	divide (baumWelchDataType num, baumWelchDataType denom)
	divide opeation, award 0 value by denom num: numerator denom: denominator
std::vector< std::vector < baumWelchDataType > * > *	forward (HMM *initialHMM, std::vector< int > *observationVector)
	implement forward algorithm. initialHMM: the HMM, that was at begin initialized observationVector: states sequence
Private Attributes
HMM *	hmm
	represent an object of class HMM

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Detailed Description

Definition at line 43 of file BaumWelch.hpp.

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Constructor & Destructor Documentation

BaumWelch::BaumWelch

(

)

Definition at line 31 of file BaumWelch.cpp.

BaumWelch::~BaumWelch

(

)

Definition at line 35 of file BaumWelch.cpp.

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Member Function Documentation

std::vector< std::vector< baumWelchDataType > * > * BaumWelch::backward	(	HMM *	initialHMM,
		std::vector< int > *	observationVector
	)			[private]

Definition at line 162 of file BaumWelch.cpp.

HMM * BaumWelch::baumWelch	(	HMM *	initialHMM,
		std::vector< int > *	observationVector,
		int	iterations
	)

Definition at line 40 of file BaumWelch.cpp.

baumWelchDataType BaumWelch::calculateGamma	(	int	i,
		int	t,
		std::vector< std::vector< baumWelchDataType > * > *	forwardMatrix,
		std::vector< std::vector< baumWelchDataType > * > *	backwardMatrix,
		HMM *	h
	)			[private]

calculate gamma_i(t). gamma_i(t): given state sequence O, probability, that at time t in state i

Definition at line 229 of file BaumWelch.cpp.

baumWelchDataType BaumWelch::calculateXi	(	int	t,
		int	i,
		int	j,
		std::vector< int > *	observationVector,
		std::vector< std::vector< baumWelchDataType > * > *	forwardMatrix,
		std::vector< std::vector< baumWelchDataType > * > *	backwardMatrix,
		HMM *	h
	)			[private]

calculate Xi_t(i,j) Xi_t(i,j): probability, that at time t in state i and at time t+1 in state j

Definition at line 248 of file BaumWelch.cpp.

baumWelchDataType BaumWelch::divide	(	baumWelchDataType	num,
		baumWelchDataType	denom
	)			[private]

Definition at line 268 of file BaumWelch.cpp.

std::vector< std::vector< baumWelchDataType > * > * BaumWelch::forward	(	HMM *	initialHMM,
		std::vector< int > *	observationVector
	)			[private]

Definition at line 119 of file BaumWelch.cpp.

HMM * BaumWelch::getHMM

(

)

Definition at line 277 of file BaumWelch.cpp.

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Member Data Documentation

HMM* constanze::BaumWelch::hmm [private]

Definition at line 64 of file BaumWelch.hpp.

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

• modules/loadgen/constanze/src/BaumWelch.hpp
• modules/loadgen/constanze/src/BaumWelch.cpp