| 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.homogeneous |
Provides
DifferentiableStatisticalModels that are homogeneous, i.e. |
| de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif | |
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm |
The package provides all interfaces and classes for a hidden Markov model (HMM).
|
| Class and Description |
|---|
| HomogeneousDiffSM
This is the main class for all homogeneous
DifferentiableSequenceScores. |
| HomogeneousMMDiffSM
This scoring function implements a homogeneous Markov model of arbitrary
order for any sequence length.
|
| Class and Description |
|---|
| HomogeneousDiffSM
This is the main class for all homogeneous
DifferentiableSequenceScores. |
| HomogeneousMM0DiffSM
This scoring function implements a homogeneous Markov model of order zero
(hMM(0)) for a fixed sequence length.
|
| HomogeneousMMDiffSM
This scoring function implements a homogeneous Markov model of arbitrary
order for any sequence length.
|
| Class and Description |
|---|
| HomogeneousDiffSM
This is the main class for all homogeneous
DifferentiableSequenceScores. |
| Class and Description |
|---|
| HomogeneousMMDiffSM
This scoring function implements a homogeneous Markov model of arbitrary
order for any sequence length.
|