Package | Description |
---|---|
de.jstacs.sequenceScores.statisticalModels.differentiable |
Provides all
DifferentiableStatisticalModel s, which can compute the gradient with
respect to their parameters for a given input Sequence . |
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
Provides
DifferentiableStatisticalModel s 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 |
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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
DurationDiffSM s. |
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.
|