Package de.jstacs.models

Provides the interface Model and its abstract implementation AbstractModel, which is the super class of all other models.

See:
Description

Interface Summary

Model

This interface defines all methods for a probabilistic model.

Class Summary

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.
ModelFactory	This class allows to easily create some frequently used models.
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 Samples of Sequences with variable length if each individual length is at least Model.getLength().

Package de.jstacs.models Description

Provides the interface Model and its abstract implementation AbstractModel, which is the super class of all other models. The Model interface defines how to obtain a probability for a sequence and how to train the parameters of the model using a Sample. Any combination of Models can be used to build a ModelBasedClassifier, which can be evaluated in a ClassifierAssessment.