Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.AbstractVariableLengthDiffSM

Packages that use AbstractVariableLengthDiffSM

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.homogeneous	Provides DifferentiableStatisticalModels that are homogeneous, i.e.

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

Subclasses of AbstractVariableLengthDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable

class

CyclicMarkovModelDiffSM This scoring function implements a cyclic Markov model of arbitrary order and periodicity for any sequence length.

Uses of AbstractVariableLengthDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous

Subclasses of AbstractVariableLengthDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous

class	HomogeneousDiffSM This is the main class for all homogeneous DifferentiableSequenceScores.
class	HomogeneousMM0DiffSM This scoring function implements a homogeneous Markov model of order zero (hMM(0)) for a fixed sequence length.
class	HomogeneousMMDiffSM This scoring function implements a homogeneous Markov model of arbitrary order for any sequence length.
class	UniformHomogeneousDiffSM This scoring function does nothing.