Package | Description |
---|---|
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
This package contains various inhomogeneous models.
|
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters |
Modifier and Type | Class and Description |
---|---|
class |
BayesianNetworkTrainSM
The class implements a Bayesian network (
StructureLearner.ModelType.BN ) of fixed order. |
class |
DAGTrainSM
The abstract class for directed acyclic graphical models
(
DAGTrainSM ). |
class |
FSDAGModelForGibbsSampling
This is the class for a fixed structure directed acyclic graphical model (see
FSDAGTrainSM ) that can be used in a Gibbs sampling. |
class |
FSDAGTrainSM
This class can be used for any discrete fixed structure
directed acyclic graphical model (
FSDAGTrainSM ). |
class |
FSMEManager
This class can be used for any discrete fixed structure maximum entropy model (FSMEM).
|
class |
MEManager
This class is the super class for all maximum entropy models
|
Modifier and Type | Method and Description |
---|---|
InhomogeneousDGTrainSM |
InhomogeneousDGTrainSM.clone() |
Constructor and Description |
---|
IDGTrainSMParameterSet(Class<? extends InhomogeneousDGTrainSM> instanceClass)
This constructor creates an empty
IDGTrainSMParameterSet instance from
the class that can be instantiated using this IDGTrainSMParameterSet . |
IDGTrainSMParameterSet(Class<? extends InhomogeneousDGTrainSM> instanceClass,
AlphabetContainer alphabet,
int length,
double ess,
String description)
This constructor creates an
IDGTrainSMParameterSet instance for the
specified class. |