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.
|
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters | |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
Modifier and Type | Method and Description |
---|---|
static FSDAGTrainSM |
TrainableStatisticalModelFactory.createInhomogeneousMarkovModel(AlphabetContainer con,
int length,
double ess,
byte order)
This method returns a inhomogeneous Markov model (IMM) with user-specified order.
|
static FSDAGTrainSM |
TrainableStatisticalModelFactory.createPWM(AlphabetContainer con,
int length,
double ess)
This method returns a position weight matrix (PWM).
|
Modifier and Type | Class and Description |
---|---|
class |
FSDAGModelForGibbsSampling
This is the class for a fixed structure directed acyclic graphical model (see
FSDAGTrainSM ) that can be used in a Gibbs sampling. |
Constructor and Description |
---|
FSDAGTrainSMParameterSet(Class<? extends FSDAGTrainSM> clazz)
This the constructor creates an empty
FSDAGTrainSMParameterSet from the
class that can be instantiated using this FSDAGTrainSMParameterSet . |
FSDAGTrainSMParameterSet(Class<? extends FSDAGTrainSM> clazz,
AlphabetContainer alphabet,
int length,
double ess,
String description,
String graph)
This constructor creates an
FSDAGTrainSMParameterSet instance for the
specified class. |
Constructor and Description |
---|
SharedStructureClassifier(int length,
StructureLearner.ModelType model,
byte order,
StructureLearner.LearningType method,
FSDAGTrainSM... models)
Creates a new
SharedStructureClassifier from given
FSDAGTrainSM s. |
SharedStructureMixture(FSDAGTrainSM[] m,
StructureLearner.ModelType model,
byte order,
int starts,
boolean estimateComponentProbs,
double[] weights,
double alpha,
TerminationCondition tc)
Creates a new
SharedStructureMixture instance with all relevant
values. |
SharedStructureMixture(FSDAGTrainSM[] m,
StructureLearner.ModelType model,
byte order,
int starts,
double[] weights,
double alpha,
TerminationCondition tc)
Creates a new
SharedStructureMixture instance with fixed
component weights. |
SharedStructureMixture(FSDAGTrainSM[] m,
StructureLearner.ModelType model,
byte order,
int starts,
double alpha,
TerminationCondition tc)
Creates a new
SharedStructureMixture instance which estimates the
component probabilities/weights. |