| Package | Description |
|---|---|
| de.jstacs.sequenceScores.statisticalModels.trainable |
Provides all
TrainableStatisticalModels, which can
be learned from a single DataSet. |
| de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
This package contains various inhomogeneous models.
|
| Modifier and Type | Method and Description |
|---|---|
static BayesianNetworkTrainSM |
TrainableStatisticalModelFactory.createBayesianNetworkModel(AlphabetContainer con,
int length,
double ess,
byte order)
This method returns a Bayesian network model (BN) with user-specified order.
|
static BayesianNetworkTrainSM |
TrainableStatisticalModelFactory.createPermutedMarkovModel(AlphabetContainer con,
int length,
double ess,
byte order)
This method returns a permuted Markov model (PMM) with user-specified order.
|
| Modifier and Type | Method and Description |
|---|---|
BayesianNetworkTrainSM |
BayesianNetworkTrainSM.clone() |