Uses of Package
de.jstacs.algorithms.optimization.termination

Packages that use de.jstacs.algorithms.optimization.termination

Package	Description
de.jstacs.algorithms.optimization	Provides classes for different types of algorithms that are not directly linked to the modelling components of Jstacs: Algorithms on graphs, algorithms for numerical optimization, and a basic alignment algorithm.
de.jstacs.algorithms.optimization.termination	Provides classes for termination conditions that can be used in algorithms.
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.motifDiscovery	This package provides the framework including the interface for any de novo motif discoverer.
de.jstacs.sequenceScores.statisticalModels.trainable	Provides all TrainableStatisticalModels, which can be learned from a single DataSet.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training	The package provides all classes used to determine the training algorithm of a hidden Markov model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture	This package is the super package for any mixture model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.algorithms.optimization

Class and Description
TerminationCondition This interface can be used in any iterative algorithm for determining the end of the algorithm.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.algorithms.optimization.termination

Class and Description
AbsoluteValueCondition.AbsoluteValueConditionParameterSet Deprecated. This class implements the parameter set for a AbsoluteValueCondition.
AbstractTerminationCondition This class is the abstract super class of many TerminationConditions.
AbstractTerminationCondition.AbstractTerminationConditionParameterSet This class implements the super class of all parameter sets of instances from AbstractTerminationCondition.
CombinedCondition.CombinedConditionParameterSet This class implements the parameter set for a CombinedCondition.
IterationCondition.IterationConditionParameterSet This class implements the parameter set for a IterationCondition.
MultipleIterationsCondition.MultipleIterationsConditionParameterSet This class implements the parameter set for a MultipleIterationsCondition.
SmallDifferenceOfFunctionEvaluationsCondition.SmallDifferenceOfFunctionEvaluationsConditionParameterSet This class implements the parameter set for a SmallDifferenceOfFunctionEvaluationsCondition.
SmallGradientConditon.SmallGradientConditonParameterSet This class implements the parameter set for a SmallStepCondition.
SmallStepCondition.SmallStepConditionParameterSet This class implements the parameter set for a SmallStepCondition.
TerminationCondition This interface can be used in any iterative algorithm for determining the end of the algorithm.
TimeCondition.TimeConditionParameterSet This class implements the parameter set for a TimeCondition.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.classifiers.differentiableSequenceScoreBased

Class and Description
AbstractTerminationCondition This class is the abstract super class of many TerminationConditions.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.motifDiscovery

Class and Description
AbstractTerminationCondition This class is the abstract super class of many TerminationConditions.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.sequenceScores.statisticalModels.trainable

Class and Description
AbstractTerminationCondition This class is the abstract super class of many TerminationConditions.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Class and Description
TerminationCondition This interface can be used in any iterative algorithm for determining the end of the algorithm.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Class and Description
TerminationCondition This interface can be used in any iterative algorithm for determining the end of the algorithm.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training

Class and Description
AbstractTerminationCondition This class is the abstract super class of many TerminationConditions.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Class and Description
TerminationCondition This interface can be used in any iterative algorithm for determining the end of the algorithm.

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Class and Description
TerminationCondition This interface can be used in any iterative algorithm for determining the end of the algorithm.