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

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

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

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

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

AbstractTerminationCondition
This class is the abstract super class of many TerminationConditions.

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

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

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

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

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

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

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

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