Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training.MaxHMMTrainingParameterSet

Packages that use MaxHMMTrainingParameterSet

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

Uses of MaxHMMTrainingParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.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, boolean insertUniform) Creates a new profile HMM for a given architecture and number of layers.
static AbstractHMM	HMMFactory.createProfileHMM(MaxHMMTrainingParameterSet trainingParameterSet, double[][] initFromTo, boolean likelihood, int order, int numLayers, AlphabetContainer con, double ess, boolean conditionalMain, int joiningStates, double[][] conditionInitProbs, boolean insertUniform) 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.sequenceScores.statisticalModels.trainable.hmm.models

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.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.sequenceScores.statisticalModels.trainable.hmm.training

Subclasses of MaxHMMTrainingParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training

class	BaumWelchParameterSet This class implements an HMMTrainingParameterSet for the Baum-Welch training of an AbstractHMM.
class	MultiThreadedTrainingParameterSet This class is the super class for any MaxHMMTrainingParameterSet that is used for a multi-threaded maximizing training algorithm of a hidden Markov model.
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.