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Uses of Class
de.jstacs.classifier.scoringFunctionBased.gendismix.LogGenDisMixFunction

Packages that use LogGenDisMixFunction
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 
 

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

Subclasses of LogGenDisMixFunction in de.jstacs.classifier.scoringFunctionBased.gendismix
 class OneSampleLogGenDisMixFunction
          This class implements the the following function
\[f(\underline{\lambda}|C,D,\underline{w},\underline{\alpha},\underline{\beta})
where $w_{c,n}$ is the weight for sequence $d_n$ and class $c$.
 

Fields in de.jstacs.classifier.scoringFunctionBased.gendismix declared as LogGenDisMixFunction
protected  LogGenDisMixFunction GenDisMixClassifier.function
          The function that is optimized in this classifier.
 

Methods in de.jstacs.classifier.scoringFunctionBased.gendismix that return LogGenDisMixFunction
protected  LogGenDisMixFunction GenDisMixClassifier.getFunction(Sample[] data, double[][] weights)
           
 

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