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Packages that use ScoringFunction | |
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de.jstacs.classifier.scoringFunctionBased | Provides the classes for Classifier s that are based on ScoringFunction s. |
de.jstacs.classifier.scoringFunctionBased.cll | Provides the implementation of the log conditional likelihood as an OptimizableFunction and a classifier that uses log conditional likelihood or supervised posterior
to learn the parameters of a set of ScoringFunctions |
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 ScoringFunction in de.jstacs.classifier.scoringFunctionBased |
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Fields in de.jstacs.classifier.scoringFunctionBased declared as ScoringFunction | |
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protected ScoringFunction[] |
ScoreClassifier.score
The internally used scoring functions. |
Methods in de.jstacs.classifier.scoringFunctionBased that return ScoringFunction | |
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ScoringFunction |
ScoreClassifier.getScoringFunction(int i)
Returns the internally used ScoringFunction with index i . |
ScoringFunction[] |
ScoreClassifier.getScoringFunctions()
Returns all internally used ScoringFunctions in the internal order. |
Methods in de.jstacs.classifier.scoringFunctionBased with parameters of type ScoringFunction | |
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abstract void |
OptimizableFunction.reset(ScoringFunction[] score)
Resets the scoringFunctions and all precomputed values. |
Constructors in de.jstacs.classifier.scoringFunctionBased with parameters of type ScoringFunction | |
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ScoreClassifier(ScoreClassifierParameterSet params,
ScoringFunction... score)
The default constructor. |
Uses of ScoringFunction in de.jstacs.classifier.scoringFunctionBased.cll |
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Methods in de.jstacs.classifier.scoringFunctionBased.cll with parameters of type ScoringFunction | |
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static CLLClassifier[] |
CLLClassifier.create(CLLClassifierParameterSet params,
LogPrior prior,
ScoringFunction[]... functions)
This method creates an array of CLLClassifier by using the cross-product of the given ScoringFunctions. |
void |
NormConditionalLogLikelihood.reset(ScoringFunction[] funs)
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Constructors in de.jstacs.classifier.scoringFunctionBased.cll with parameters of type ScoringFunction | |
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CLLClassifier(CLLClassifierParameterSet params,
LogPrior prior,
ScoringFunction... score)
The default constructor. |
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CLLClassifier(CLLClassifierParameterSet params,
ScoringFunction... score)
The default constructor. |
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NormConditionalLogLikelihood(ScoringFunction[] score,
Sample[] data,
double[][] weights,
boolean norm,
boolean freeParams)
The constructor creates an instance of the log conditional likelihood. |
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NormConditionalLogLikelihood(ScoringFunction[] score,
Sample[] data,
double[][] weights,
LogPrior prior,
boolean norm,
boolean freeParams)
The constructor creates an instance using the given prior. |
Uses of ScoringFunction in de.jstacs.classifier.scoringFunctionBased.logPrior |
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Methods in de.jstacs.classifier.scoringFunctionBased.logPrior with parameters of type ScoringFunction | |
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void |
SeparateLogPrior.set(boolean freeParameters,
ScoringFunction... funs)
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void |
LogPrior.set(boolean freeParameters,
ScoringFunction... funs)
Resets all pre-computed values to their initial values using the ScoringFunction s funs |
Uses of ScoringFunction in de.jstacs.scoringFunctions |
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Subinterfaces of ScoringFunction in de.jstacs.scoringFunctions | |
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interface |
NormalizableScoringFunction
The interface for normalizable ScoringFunctions. |
Classes in de.jstacs.scoringFunctions that implement ScoringFunction | |
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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 that return ScoringFunction | |
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ScoringFunction |
ScoringFunction.clone()
Creates a clone (deep copy) of the current ScoringFunction instance. |
Uses of ScoringFunction in de.jstacs.scoringFunctions.directedGraphicalModels |
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Classes in de.jstacs.scoringFunctions.directedGraphicalModels that implement ScoringFunction | |
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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 ScoringFunction in de.jstacs.scoringFunctions.homogeneous |
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Classes in de.jstacs.scoringFunctions.homogeneous that implement ScoringFunction | |
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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 ScoringFunction in de.jstacs.scoringFunctions.mix |
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Classes in de.jstacs.scoringFunctions.mix that implement ScoringFunction | |
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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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