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Packages that use BayesianNetworkDiffSM | |
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de.jstacs.sequenceScores.statisticalModels.differentiable | Provides all DifferentiableStatisticalModel s, which can compute the gradient with
respect to their parameters for a given input Sequence . |
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | Provides DifferentiableStatisticalModel s that are directed graphical models. |
Uses of BayesianNetworkDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable |
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Methods in de.jstacs.sequenceScores.statisticalModels.differentiable that return BayesianNetworkDiffSM | |
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static BayesianNetworkDiffSM |
DifferentiableStatisticalModelFactory.createInhomogeneousMarkovModel(AlphabetContainer con,
int length,
double ess,
int order)
This method returns a inhomogeneous Markov model (IMM) with user-specified order. |
static BayesianNetworkDiffSM |
DifferentiableStatisticalModelFactory.createPWM(AlphabetContainer con,
int length,
double ess)
This method returns a position weight matrix (PWM). |
Uses of BayesianNetworkDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
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Subclasses of BayesianNetworkDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | |
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class |
MarkovModelDiffSM
This class implements a AbstractDifferentiableStatisticalModel for an inhomogeneous Markov model. |
Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels that return BayesianNetworkDiffSM | |
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BayesianNetworkDiffSM |
BayesianNetworkDiffSM.clone()
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