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## Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous.HomogeneousMMDiffSM

Packages that use HomogeneousMMDiffSM
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 HomogeneousMMDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable that return HomogeneousMMDiffSM
`static HomogeneousMMDiffSM` | `DifferentiableStatisticalModelFactory.createHomogeneousMarkovModel(AlphabetContainer con, double ess, int order, int priorLength)` This method returns a homogeneous Markov model with user-specified order.

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

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous that return HomogeneousMMDiffSM
`HomogeneousMMDiffSM` | `HomogeneousMMDiffSM.clone()`

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