Package | Description |
---|---|
de.jstacs.sequenceScores.statisticalModels.trainable |
Provides all
TrainableStatisticalModel s, 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() |