Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.HomogeneousTrainSM

Packages that use HomogeneousTrainSM

de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters

Uses of HomogeneousTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

Subclasses of HomogeneousTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

class

HomogeneousMM This class implements homogeneous Markov models (hMM) of arbitrary order.

Uses of HomogeneousTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters

Constructor parameters in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters with type arguments of type HomogeneousTrainSM

HomogeneousTrainSMParameterSet(Class<? extends HomogeneousTrainSM> instanceClass)
This is the constructor that creates an empty HomogeneousTrainSMParameterSet from the class that can be instantiated using this HomogeneousTrainSMParameterSet.

HomogeneousTrainSMParameterSet(Class<? extends HomogeneousTrainSM> instanceClass, AlphabetContainer alphabet, double ess, String description, byte order)
Creates a new HomogeneousTrainSMParameterSet with AlphabetContainer, ess (equivalent sample size), description and order of the homogeneous Markov model.