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Packages that use AbstractNormalizableScoringFunction | |
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de.jstacs.scoringFunctions | Provides ScoringFunction s that can be used in a ScoreClassifier . |
de.jstacs.scoringFunctions.directedGraphicalModels | Provides ScoringFunction s that are equivalent to directed graphical models. |
de.jstacs.scoringFunctions.homogeneous | Provides ScoringFunction s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence |
de.jstacs.scoringFunctions.mix | Provides ScoringFunction s that are mixtures of other ScoringFunction s. |
Uses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions |
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Subclasses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions | |
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class |
IndependentProductScoringFunction
This class enables the user to model parts of the sequence independent of each other. |
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MRFScoringFunction
This class implements the scoring function for any MRF. |
class |
UniformScoringFunction
This scoring function does nothing. |
class |
VariableLengthScoringFunction
This is the main class for all ScoringFunctions that allow to score subsequences of arbitrary length. |
Methods in de.jstacs.scoringFunctions that return AbstractNormalizableScoringFunction | |
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AbstractNormalizableScoringFunction |
AbstractNormalizableScoringFunction.clone()
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Uses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions.directedGraphicalModels |
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Subclasses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions.directedGraphicalModels | |
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class |
BayesianNetworkScoringFunction
This class implements a scoring function that is a moral directed graphical model, i.e. a moral Bayesian network. |
Uses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions.homogeneous |
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Subclasses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions.homogeneous | |
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class |
HMM0ScoringFunction
This scoring function implements a homogeneous Markov model of order zero (hMM(0)) for a fixed sequence length. |
class |
HMMScoringFunction
This scoring function implements a homogeneous Markov model of arbitrary order for any sequence length. |
class |
HomogeneousScoringFunction
This is the main class for all homogeneous ScoringFunctions. |
class |
UniformHomogeneousScoringFunction
This scoring function does nothing. |
Uses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions.mix |
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Subclasses of AbstractNormalizableScoringFunction in de.jstacs.scoringFunctions.mix | |
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class |
AbstractMixtureScoringFunction
This main abstract class for any mixture (e.g. |
class |
MixtureScoringFunction
This class implements a real mixture model. |
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