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Uses of Class
de.jstacs.classifiers.differentiableSequenceScoreBased.AbstractOptimizableFunction

Packages that use AbstractOptimizableFunction
de.jstacs.classifiers.differentiableSequenceScoreBased Provides the classes for Classifiers that are based on SequenceScores. 
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels by a unified generative-discriminative learning principle 
 

Uses of AbstractOptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased
 

Subclasses of AbstractOptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased
 class AbstractMultiThreadedOptimizableFunction
          This class enables the user to exploit all CPUs of an computer by using threads.
 class DiffSSBasedOptimizableFunction
          This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on DifferentiableSequenceScores.
 

Uses of AbstractOptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix
 

Subclasses of AbstractOptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased.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 OneDataSetLogGenDisMixFunction
          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 $c$.
 

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