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