Uses of Package
de.jstacs.classifiers.differentiableSequenceScoreBased

Packages that use de.jstacs.classifiers.differentiableSequenceScoreBased

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
de.jstacs.classifiers.differentiableSequenceScoreBased.msp	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL)
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.motifDiscovery	This package provides the framework including the interface for any de novo motif discoverer

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased

AbstractMultiThreadedOptimizableFunction
This class enables the user to exploit all CPUs of an computer by using threads.

AbstractOptimizableFunction
This class extends OptimizableFunction and implements some common methods.

DiffSSBasedOptimizableFunction
This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on DifferentiableSequenceScores.

OptimizableFunction
This is the main function for the ScoreClassifier.

OptimizableFunction.KindOfParameter
This enum defines the kinds of parameters that can be returned by the method OptimizableFunction.getParameters(KindOfParameter).

ScoreClassifier
This abstract class implements the main functionality of a DifferentiableSequenceScore based classifier.

ScoreClassifierParameterSet
A set of Parameters for any ScoreClassifier.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

AbstractMultiThreadedOptimizableFunction
This class enables the user to exploit all CPUs of an computer by using threads.

AbstractOptimizableFunction
This class extends OptimizableFunction and implements some common methods.

DiffSSBasedOptimizableFunction
This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on DifferentiableSequenceScores.

OptimizableFunction
This is the main function for the ScoreClassifier.

OptimizableFunction.KindOfParameter
This enum defines the kinds of parameters that can be returned by the method OptimizableFunction.getParameters(KindOfParameter).

ScoreClassifier
This abstract class implements the main functionality of a DifferentiableSequenceScore based classifier.

ScoreClassifierParameterSet
A set of Parameters for any ScoreClassifier.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased.msp

ScoreClassifier
This abstract class implements the main functionality of a DifferentiableSequenceScore based classifier.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

DiffSSBasedOptimizableFunction
This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on DifferentiableSequenceScores.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.motifDiscovery

DiffSSBasedOptimizableFunction
This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on DifferentiableSequenceScores.

OptimizableFunction.KindOfParameter
This enum defines the kinds of parameters that can be returned by the method OptimizableFunction.getParameters(KindOfParameter).