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

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

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

TrainableStatisticalModel
This interface defines all methods for a probabilistic model.

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

TrainableStatisticalModel
This interface defines all methods for a probabilistic model.

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

TrainableStatisticalModel
This interface defines all methods for a probabilistic model.

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

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

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

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

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

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

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

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

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

AbstractTrainableStatisticalModel
Abstract class for a model for pattern recognition.

TrainableStatisticalModel
This interface defines all methods for a probabilistic model.