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 | |
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 |
Class and Description |
---|
BayesianNetworkTrainSM
The class implements a Bayesian network (
StructureLearner.ModelType.BN ) of fixed order. |
FSDAGTrainSM
This class can be used for any discrete fixed structure
directed acyclic graphical model (
FSDAGTrainSM ). |
Class and Description |
---|
InhCondProb
This class handles (conditional) probabilities of sequences for
inhomogeneous models.
|
MEM
This class represents a maximum entropy model.
|
MEMConstraint
This constraint can be used for any maximum entropy
model (MEM) application.
|
Class and Description |
---|
BayesianNetworkTrainSM
The class implements a Bayesian network (
StructureLearner.ModelType.BN ) of fixed order. |
DAGTrainSM
The abstract class for directed acyclic graphical models
(
DAGTrainSM ). |
FSDAGModelForGibbsSampling
This is the class for a fixed structure directed acyclic graphical model (see
FSDAGTrainSM ) that can be used in a Gibbs sampling. |
FSDAGTrainSM
This class can be used for any discrete fixed structure
directed acyclic graphical model (
FSDAGTrainSM ). |
InhCondProb
This class handles (conditional) probabilities of sequences for
inhomogeneous models.
|
InhConstraint
This class is the superclass for all inhomogeneous constraints.
|
InhomogeneousDGTrainSM
This class is the main class for all inhomogeneous discrete
graphical models (
InhomogeneousDGTrainSM ). |
MEM
This class represents a maximum entropy model.
|
MEManager
This class is the super class for all maximum entropy models
|
MEMConstraint
This constraint can be used for any maximum entropy
model (MEM) application.
|
SequenceIterator
This class is used to iterate over a discrete sequence.
|
StructureLearner.LearningType
This
enum defines the different types of learning that are
possible with the StructureLearner . |
StructureLearner.ModelType
This
enum defines the different types of models that can be
learned with the StructureLearner . |
Class and Description |
---|
FSDAGTrainSM
This class can be used for any discrete fixed structure
directed acyclic graphical model (
FSDAGTrainSM ). |
InhomogeneousDGTrainSM
This class is the main class for all inhomogeneous discrete
graphical models (
InhomogeneousDGTrainSM ). |
MEManager
This class is the super class for all maximum entropy models
|
StructureLearner.LearningType
This
enum defines the different types of learning that are
possible with the StructureLearner . |
StructureLearner.ModelType
This
enum defines the different types of models that can be
learned with the StructureLearner . |
Class and Description |
---|
FSDAGTrainSM
This class can be used for any discrete fixed structure
directed acyclic graphical model (
FSDAGTrainSM ). |
StructureLearner.LearningType
This
enum defines the different types of learning that are
possible with the StructureLearner . |
StructureLearner.ModelType
This
enum defines the different types of models that can be
learned with the StructureLearner . |