Uses of Class
de.jstacs.models.hmm.training.MaxHMMTrainingParameterSet

Packages that use MaxHMMTrainingParameterSet

de.jstacs.models.hmm	The package provides all interfaces and classes for a hidden Markov model (HMM).
de.jstacs.models.hmm.models	The package provides different implementations of hidden Markov models based on AbstractHMM
de.jstacs.models.hmm.training	The package provides all classes used to determine the training algorithm of a hidden Markov model

Uses of MaxHMMTrainingParameterSet in de.jstacs.models.hmm

Methods in de.jstacs.models.hmm with parameters of type MaxHMMTrainingParameterSet

static AbstractHMM	HMMFactory.createProfileHMM(MaxHMMTrainingParameterSet trainingParameterSet, double[][] initFromTo, boolean likelihood, int order, int numLayers, AlphabetContainer con, double ess, boolean conditionalMain, boolean closeCircle, double[][] conditionInitProbs) Creates a new profile HMM for a given architecture and number of layers.
static AbstractHMM	HMMFactory.createProfileHMM(MaxHMMTrainingParameterSet trainingParameterSet, HMMFactory.HMMType type, boolean likelihood, int order, int numLayers, AlphabetContainer con, double ess, boolean conditionalMain, boolean closeCircle, double[][] conditionInitProbs) Creates a new profile HMM for a given architecture and number of layers.

Uses of MaxHMMTrainingParameterSet in de.jstacs.models.hmm.models

Constructors in de.jstacs.models.hmm.models with parameters of type MaxHMMTrainingParameterSet

DifferentiableHigherOrderHMM(MaxHMMTrainingParameterSet trainingParameterSet, String[] name, int[] emissionIdx, boolean[] forward, DifferentiableEmission[] emission, boolean likelihood, double ess, TransitionElement... te)
This is the main constructor.

Uses of MaxHMMTrainingParameterSet in de.jstacs.models.hmm.training

Subclasses of MaxHMMTrainingParameterSet in de.jstacs.models.hmm.training

class	BaumWelchParameterSet This class implements an HMMTrainingParameterSet for the Baum-Welch training of an AbstractHMM.
class	NumericalHMMTrainingParameterSet This class implements an ParameterSet for numerical training of an AbstractHMM.
class	ViterbiParameterSet This class implements an ParameterSet for the viterbi training of an AbstractHMM.