Uses of Package
de.jstacs.sequenceScores.statisticalModels.trainable

Packages that use de.jstacs.sequenceScores.statisticalModels.trainable

Package	Description
de.jstacs.classifiers	This package provides the framework for any classifier.
de.jstacs.classifiers.assessment	This package allows to assess classifiers. It contains the class ClassifierAssessment that is used as a super-class of all implemented methodologies of an assessment to assess classifiers.
de.jstacs.classifiers.trainSMBased	Provides the classes for Classifiers that are based on TrainableStatisticalModels.
de.jstacs.sequenceScores.statisticalModels.trainable	Provides all TrainableStatisticalModels, which can be learned from a single DataSet.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared
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.mixture	This package is the super package for any mixture model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.classifiers

Class and Description
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.classifiers.assessment

Class and Description
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.classifiers.trainSMBased

Class and Description
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
CompositeTrainSM This class is for modelling sequences by modelling the different positions of the each sequence by different models.
DifferentiableStatisticalModelWrapperTrainSM This model can be used to use a DifferentiableStatisticalModel as model.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.
UniformTrainSM This class represents a uniform model.
VariableLengthWrapperTrainSM This class allows to train any TrainableStatisticalModel on DataSets of Sequences with variable length if each individual length is at least SequenceScore.getLength().

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Class and Description
AbstractTrainableStatisticalModel Abstract class for a model for pattern recognition.
TrainableStatisticalModel This interface defines all methods for a probabilistic model.