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

Packages that use OptimizableFunction

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 OptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased

Subclasses of OptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased

class	AbstractMultiThreadedOptimizableFunction This class enables the user to exploit all CPUs of an computer by using threads.
class	AbstractOptimizableFunction This class extends OptimizableFunction and implements some common methods.
class	DiffSSBasedOptimizableFunction This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on DifferentiableSequenceScores.

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased with parameters of type OptimizableFunction

protected OptimizableFunction.KindOfParameter

ScoreClassifier.preoptimize(OptimizableFunction f) This method allows to pre-optimize the parameter before the real optimization.

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

Subclasses of OptimizableFunction in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

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 .