Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.BayesianNetworkDiffSM

Packages that use BayesianNetworkDiffSM

de.jstacs.sequenceScores.statisticalModels.differentiable	Provides all DifferentiableStatisticalModels, which can compute the gradient with respect to their parameters for a given input Sequence.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels	Provides DifferentiableStatisticalModels that are directed graphical models.

Uses of BayesianNetworkDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable that return BayesianNetworkDiffSM

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

Subclasses of BayesianNetworkDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

class

MarkovModelDiffSM This class implements a AbstractDifferentiableStatisticalModel for an inhomogeneous Markov model.

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels that return BayesianNetworkDiffSM

BayesianNetworkDiffSM

BayesianNetworkDiffSM.clone()