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| Packages that use StructureLearner.ModelType | |
|---|---|
| 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 | |
| Uses of StructureLearner.ModelType in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
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| Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous that return StructureLearner.ModelType | |
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static StructureLearner.ModelType |
StructureLearner.ModelType.valueOf(String name)
Returns the enum constant of this type with the specified name. |
static StructureLearner.ModelType[] |
StructureLearner.ModelType.values()
Returns an array containing the constants of this enum type, in the order they are declared. |
| Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type StructureLearner.ModelType | |
|---|---|
int[][] |
StructureLearner.getStructure(DataSet data,
double[] weights,
StructureLearner.ModelType model,
byte order,
StructureLearner.LearningType method)
This method finds the optimal structure of a model by using a given learning method (in some sense). |
static int[][] |
StructureLearner.getStructure(Tensor t,
StructureLearner.ModelType model,
byte order)
This method can be used to determine the optimal structure of a model. |
| Uses of StructureLearner.ModelType in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters |
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| Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters with parameters of type StructureLearner.ModelType | |
|---|---|
static String |
IDGTrainSMParameterSet.getModelInstanceName(StructureLearner.ModelType model,
byte order,
StructureLearner.LearningType method,
double ess)
This method returns a short textual representation of the model instance. |
| Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters with parameters of type StructureLearner.ModelType | |
|---|---|
BayesianNetworkTrainSMParameterSet(AlphabetContainer alphabet,
int length,
double ess,
String description,
StructureLearner.ModelType model,
byte order,
StructureLearner.LearningType method)
This is the constructor of a filled BayesianNetworkTrainSMParameterSet for a
BayesianNetworkTrainSM. |
|
| Uses of StructureLearner.ModelType in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
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| Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared with parameters of type StructureLearner.ModelType | |
|---|---|
SharedStructureClassifier(int length,
StructureLearner.ModelType model,
byte order,
StructureLearner.LearningType method,
FSDAGTrainSM... models)
Creates a new SharedStructureClassifier from given
FSDAGTrainSMs. |
|
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. |
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