Package | Description |
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de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
Provides
DifferentiableStatisticalModel s that are directed graphical models. |
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures |
Provides the facilities to learn the structure of a
BayesianNetworkDiffSM . |
Constructor and Description |
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MarkovModelDiffSM(AlphabetContainer alphabet,
int length,
double ess,
boolean plugInParameters,
InhomogeneousMarkov structureMeasure)
This constructor creates an instance without any prior for the modeled length.
|
MarkovModelDiffSM(AlphabetContainer alphabet,
int length,
double ess,
boolean plugInParameters,
InhomogeneousMarkov structureMeasure,
DurationDiffSM lengthPenalty)
This constructor creates an instance with an prior for the modeled length.
|
Modifier and Type | Method and Description |
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InhomogeneousMarkov |
InhomogeneousMarkov.clone() |