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Packages that use AbstractVariableLengthDiffSM | |
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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.homogeneous | Provides DifferentiableStatisticalModel s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence |
Uses of AbstractVariableLengthDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable |
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Subclasses of AbstractVariableLengthDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable | |
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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 |
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Subclasses of AbstractVariableLengthDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous | |
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class |
HomogeneousDiffSM
This is the main class for all homogeneous DifferentiableSequenceScore s. |
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. |
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