|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| 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. |
| 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.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.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.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. |
|
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||