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

Packages that use AbstractOptimizableFunction

Package	Description
de.jstacs.classifiers.differentiableSequenceScoreBased	Provides the classes for Classifiers that are based on SequenceScores. It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior, and a separate sub-package for the parameter priors, that can be used for the supervised posterior.
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

Modifier and Type	Class and Description
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

Modifier and Type	Class and Description
class	LogGenDisMixFunction This class implements the the following function The weights have to sum to 1.
class	OneDataSetLogGenDisMixFunction This class implements the the following function where is the weight for sequence and class .