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. |
Modifier and Type | Method and Description |
---|---|
static BayesianNetworkDiffSM |
DifferentiableStatisticalModelFactory.createInhomogeneousMarkovModel(AlphabetContainer con,
int length,
double ess,
int order)
This method returns a inhomogeneous Markov model (IMM) with user-specified order.
|
static BayesianNetworkDiffSM |
DifferentiableStatisticalModelFactory.createPWM(AlphabetContainer con,
int length,
double ess)
This method returns a position weight matrix (PWM).
|
Modifier and Type | Class and Description |
---|---|
class |
MarkovModelDiffSM
This class implements a
AbstractDifferentiableStatisticalModel for an inhomogeneous Markov model. |
Modifier and Type | Method and Description |
---|---|
BayesianNetworkDiffSM |
BayesianNetworkDiffSM.clone() |