| Package | Description |
|---|---|
| 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.transitions |
The package provides all interfaces and classes for transitions used in hidden Markov models.
|
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements |
| Class and Description |
|---|
| TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
|
| Class and Description |
|---|
| TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
|
| Class and Description |
|---|
| TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
|
| Class and Description |
|---|
| BasicTransitionElement
This class implements the probability distribution for a given context, i.e.
|
| DistanceBasedScaledTransitionElement
Distance-based scaled transition element for an HMM with distance-scaled transition matrices (DSHMM).
|
| ReferenceBasedTransitionElement
This class implements transition elements that utilize a reference sequence to determine the transition probability.
|
| ScaledTransitionElement
Scaled transition element for an HMM with scaled transition matrices (SHMM).
|
| TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
|