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

Packages that use de.jstacs.sequenceScores.statisticalModels.trainable
de.jstacs.classifiers.assessment | This package allows to assess classifiers.
de.jstacs.classifiers.trainSMBased | Provides the classes for `Classifier`s that are based on `TrainableStatisticalModel`s
de.jstacs.sequenceScores.statisticalModels.trainable | Provides all `TrainableStatisticalModel`s, 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.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 `DataSet`s of `Sequence`s 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.

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