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

Packages that use AbstractMultiThreadedOptimizableFunction
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 
 

Uses of AbstractMultiThreadedOptimizableFunction in de.jstacs.classifier.scoringFunctionBased
 

Subclasses of AbstractMultiThreadedOptimizableFunction in de.jstacs.classifier.scoringFunctionBased
 class SFBasedOptimizableFunction
          This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on ScoringFunctions.
 

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

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