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| Packages that use de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training | |
|---|---|
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm | The package provides all interfaces and classes for a hidden Markov model (HMM). |
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models | The package provides different implementations of hidden Markov models based on AbstractHMM |
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training | The package provides all classes used to determine the training algorithm of a hidden Markov model |
| Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm | |
|---|---|
| HMMTrainingParameterSet
This class implements an abstract ParameterSet that is used for the training of an AbstractHMM. |
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| MaxHMMTrainingParameterSet
This class is the super class for any HMMTrainingParameterSet that
is used for a maximizing training algorithm of a hidden Markov model. |
|
| Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models | |
|---|---|
| HMMTrainingParameterSet
This class implements an abstract ParameterSet that is used for the training of an AbstractHMM. |
|
| MaxHMMTrainingParameterSet
This class is the super class for any HMMTrainingParameterSet that
is used for a maximizing training algorithm of a hidden Markov model. |
|
| SamplingHMMTrainingParameterSet
This class contains the parameters for training training an AbstractHMM using a sampling strategy. |
|
| Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training | |
|---|---|
| HMMTrainingParameterSet
This class implements an abstract ParameterSet that is used for the training of an AbstractHMM. |
|
| MaxHMMTrainingParameterSet
This class is the super class for any HMMTrainingParameterSet that
is used for a maximizing training algorithm of a hidden Markov model. |
|
| MultiThreadedTrainingParameterSet
This class is the super class for any MaxHMMTrainingParameterSet that
is used for a multi-threaded maximizing training algorithm of a hidden Markov model. |
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