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## Uses of Package
de.jstacs.models

Packages that use de.jstacs.models
de.jstacs.classifier.assessment | This package allows to assess classifiers.
de.jstacs.classifier.modelBased | Provides the classes for `Classifier`s that are based on `Model`s
de.jstacs.models | Provides the interface `Model` and its abstract implementation `AbstractModel`, which is the super class of all other models.
de.jstacs.models.discrete |
de.jstacs.models.discrete.homogeneous |
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.models.discrete.inhomogeneous.shared |
de.jstacs.models.mixture | This package is the super package for any mixture model.
de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling.
de.jstacs.models.mixture.motif |
de.jstacs.models.utils |

Classes in de.jstacs.models used by de.jstacs.classifier.assessment
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.classifier.modelBased
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models
AbstractModel Abstract class for a model for pattern recognition.
CompositeModel This class is for modelling sequences by modelling the different positions of the each sequence by different models.
Model This interface defines all methods for a probabilistic model.
NormalizableScoringFunctionModel This model can be used to use a NormalizableScoringFunction as model.
UniformModel This class represents a uniform model.
VariableLengthWrapperModel This class allows to train any `Model` on `Sample`s of `Sequence`s with variable length if each individual length is at least `Model.getLength()`.

Classes in de.jstacs.models used by de.jstacs.models.discrete
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.discrete.homogeneous
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.discrete.inhomogeneous
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.discrete.inhomogeneous.shared
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.mixture
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.mixture.gibbssampling
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.mixture.motif
AbstractModel Abstract class for a model for pattern recognition.
Model This interface defines all methods for a probabilistic model.

Classes in de.jstacs.models used by de.jstacs.models.utils
Model This interface defines all methods for a probabilistic model.

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