Implementation of a special case of Baum-Welch parameter estimation. More...

#include <baumwelch.hh>

Public Member Functions
	BaumWelch (int k, int numFrames, int modelTypes=2)

void	initialTypeParameters (Double patpseudocount=0.0)

void	initialRandomParameters ()

void	initialExonTrainingData (AnnoSequence *seqList)

void	initialIntronTrainingData (const Gene *geneList)

void	classifyTrainingData ()

void	setK (int k)

void	setTrainingData (TrainingData *inputSeqs)

Double	reestimate (Double patpseudocount=0.0)

void	printAllContentModels (ostream &out)

void	readAllContentModels (istream &in)

void	printInputSeqs (ostream &out)

TrainingData *	getInputSeqs ()

ContentModel	getContentModel (int type)

int	getK ()

int	getModelTypes ()

int	getNumFrames ()

Double	getModelTypeProb (int i)

void	addTrainingData (TrainingData *td)

Detailed Description

Implementation of a special case of Baum-Welch parameter estimation.

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

Public Member Functions