| Package | Description |
|---|---|
| de.jstacs.sequenceScores.statisticalModels.differentiable |
Provides all
DifferentiableStatisticalModels, which can compute the gradient with
respect to their parameters for a given input Sequence. |
| de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
Provides
DifferentiableStatisticalModels that are directed graphical models. |
| de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |
| Class and Description |
|---|
| ExtendedZOOPSDiffSM
This class handles mixtures with at least one hidden motif.
|
| Class and Description |
|---|
| DurationDiffSM
This class is the super class for all one dimensional position scoring functions that can be used as durations for semi Markov models.
|
| Class and Description |
|---|
| DurationDiffSM
This class is the super class for all one dimensional position scoring functions that can be used as durations for semi Markov models.
|
| ExtendedZOOPSDiffSM
This class handles mixtures with at least one hidden motif.
|
| MixtureDurationDiffSM
This class implements a mixture of
DurationDiffSMs. |
| PositionDiffSM
This class implements a position scoring function that enables the user to get a score without using a Sequence
object.
|
| SkewNormalLikeDurationDiffSM
This class implements a skew normal like discrete truncated distribution.
|