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Packages that use MaxHMMTrainingParameterSet | |
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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 |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm with parameters of type MaxHMMTrainingParameterSet | |
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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 |
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Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models with parameters of type MaxHMMTrainingParameterSet | |
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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 |
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Subclasses of MaxHMMTrainingParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training | |
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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 . |
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