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Packages that use NormalizableScoringFunction | |
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de.jstacs.classifier.scoringFunctionBased.logPrior | Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors |
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 NormalizableScoringFunction in de.jstacs.classifier.scoringFunctionBased.logPrior |
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Fields in de.jstacs.classifier.scoringFunctionBased.logPrior declared as NormalizableScoringFunction | |
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protected NormalizableScoringFunction[] |
SeparateLogPrior.funs
The ScoringFunction s using the parameters that shall be penalized |
Uses of NormalizableScoringFunction in de.jstacs.scoringFunctions |
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Classes in de.jstacs.scoringFunctions that implement NormalizableScoringFunction | |
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class |
AbstractNormalizableScoringFunction
This class is the main part of any ScoreClassifier. |
class |
IndependentProductScoringFunction
This class enables the user to model parts of the sequence independent of each other. |
class |
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 with parameters of type NormalizableScoringFunction | |
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static boolean |
AbstractNormalizableScoringFunction.isNormalized(NormalizableScoringFunction... function)
This method checks whether all given NormalizableScoringFunctions are normalized. |
Constructors in de.jstacs.scoringFunctions with parameters of type NormalizableScoringFunction | |
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IndependentProductScoringFunction(NormalizableScoringFunction... functions)
This constructor creates an instance of a given series of independent NormalizableScoringFunctions. |
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IndependentProductScoringFunction(NormalizableScoringFunction[] functions,
int[] length)
This constructor creates an instance of a given series of independent NormalizableScoringFunctions and lengths. |
Uses of NormalizableScoringFunction in de.jstacs.scoringFunctions.directedGraphicalModels |
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Classes in de.jstacs.scoringFunctions.directedGraphicalModels that implement NormalizableScoringFunction | |
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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 NormalizableScoringFunction in de.jstacs.scoringFunctions.homogeneous |
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Classes in de.jstacs.scoringFunctions.homogeneous that implement NormalizableScoringFunction | |
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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 NormalizableScoringFunction in de.jstacs.scoringFunctions.mix |
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Classes in de.jstacs.scoringFunctions.mix that implement NormalizableScoringFunction | |
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class |
AbstractMixtureScoringFunction
This main abstract class for any mixture (e.g. |
class |
MixtureScoringFunction
This class implements a real mixture model. |
Fields in de.jstacs.scoringFunctions.mix declared as NormalizableScoringFunction | |
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protected NormalizableScoringFunction[] |
AbstractMixtureScoringFunction.function
This array contains the internal functions that are used to determine the score. |
Methods in de.jstacs.scoringFunctions.mix that return NormalizableScoringFunction | |
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NormalizableScoringFunction |
AbstractMixtureScoringFunction.getFunction(int index)
This method returns a specific internal function |
NormalizableScoringFunction[] |
AbstractMixtureScoringFunction.getFunctions()
This method returns an array of clones of the internal used functions. |
NormalizableScoringFunction[] |
AbstractMixtureScoringFunction.getScoringFunctions()
Returns a deep copy of all internal used ScoringFunctions |
Methods in de.jstacs.scoringFunctions.mix with parameters of type NormalizableScoringFunction | |
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protected void |
AbstractMixtureScoringFunction.cloneFunctions(NormalizableScoringFunction[] originalFunctions)
This method clones the given array of function and enables the user to do some postprocessing. |
Constructors in de.jstacs.scoringFunctions.mix with parameters of type NormalizableScoringFunction | |
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AbstractMixtureScoringFunction(int length,
int starts,
int dimension,
boolean optimizeHidden,
boolean plugIn,
NormalizableScoringFunction... function)
This constructor creates an AbstractMixtureScoringFunction. |
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MixtureScoringFunction(int starts,
boolean plugIn,
NormalizableScoringFunction... component)
This constructor creates a mixture. |
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