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.localMixture | |
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture |
Provides
DifferentiableSequenceScore s that are mixtures of other DifferentiableSequenceScore s. |
Modifier and Type | Class and Description |
---|---|
class |
MappingDiffSM
This class implements a
DifferentiableStatisticalModel that works on
mapped Sequence s. |
class |
MarkovRandomFieldDiffSM
This class implements the scoring function for any MRF (Markov Random Field).
|
class |
NormalizedDiffSM
This class makes an unnormalized
DifferentiableStatisticalModel to a normalized DifferentiableStatisticalModel . |
Modifier and Type | Class and Description |
---|---|
class |
MarkovModelDiffSM
This class implements a
AbstractDifferentiableStatisticalModel for an inhomogeneous Markov model. |
Modifier and Type | Class and Description |
---|---|
class |
LimitedSparseLocalInhomogeneousMixtureDiffSM_higherOrder
Class for a sparse local inhomogeneous mixture (Slim) model.
|
Modifier and Type | Class and Description |
---|---|
class |
StrandDiffSM
This class enables the user to search on both strand.
|