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Uses of Class
de.jstacs.classifier.scoringFunctionBased.ScoreClassifier

Packages that use ScoreClassifier
de.jstacs.classifier.scoringFunctionBased Provides the classes for Classifiers that are based on ScoringFunctions. 
de.jstacs.classifier.scoringFunctionBased.gendismix Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions by a unified generative-discriminative learning principle 
de.jstacs.classifier.scoringFunctionBased.msp Provides an implementation of a classifier that allows to train the parameters of a set of ScoringFunctions either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL) 
 

Uses of ScoreClassifier in de.jstacs.classifier.scoringFunctionBased
 

Methods in de.jstacs.classifier.scoringFunctionBased that return ScoreClassifier
 ScoreClassifier ScoreClassifier.clone()
           
 

Constructor parameters in de.jstacs.classifier.scoringFunctionBased with type arguments of type ScoreClassifier
ScoreClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass, AlphabetContainer alphabet, int length, byte algo, double eps, double lineps, double startD, boolean free, OptimizableFunction.KindOfParameter kind)
          The constructor for a simple, instantiated parameter set.
ScoreClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass, boolean simple, AlphabetContainer.AlphabetContainerType type, boolean variableLength)
          Creates a new ScoreClassifierParameterSet with empty parameter values.
 

Uses of ScoreClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix
 

Subclasses of ScoreClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix
 class GenDisMixClassifier
          This class implements a classifier the optimizes the following function
\[f(\underline{\lambda}|C,D,\underline{\alpha},\underline{\beta})
The weights $\beta_i$ have to sum to 1.
 

Constructor parameters in de.jstacs.classifier.scoringFunctionBased.gendismix with type arguments of type ScoreClassifier
GenDisMixClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass, AlphabetContainer alphabet, int length, byte algo, double eps, double lineps, double startD, boolean free, OptimizableFunction.KindOfParameter kind, boolean norm, int threads)
          The default constructor that constructs a new GenDisMixClassifierParameterSet.
 

Uses of ScoreClassifier in de.jstacs.classifier.scoringFunctionBased.msp
 

Subclasses of ScoreClassifier in de.jstacs.classifier.scoringFunctionBased.msp
 class MSPClassifier
          This class implements a classifier that allows the training via MCL or MSP principle.
 

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