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## Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.MixtureDiffSM

Packages that use MixtureDiffSM
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.mixture | Provides `DifferentiableSequenceScore`s that are mixtures of other `DifferentiableSequenceScore`s.

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

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable that return MixtureDiffSM
`static MixtureDiffSM` | `DifferentiableStatisticalModelFactory.createMixtureModel(DifferentiableStatisticalModel[] models)` This method allows to create a `MixtureDiffSM` that models a mixture of individual component `DifferentiableStatisticalModel`s.

Uses of MixtureDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture

Subclasses of MixtureDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture
`class` | `VariableLengthMixtureDiffSM` This class implements a mixture of `VariableLengthDiffSM` by extending `MixtureDiffSM` and implementing the methods of `VariableLengthDiffSM`.

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture that return MixtureDiffSM
`MixtureDiffSM` | `MixtureDiffSM.clone()`

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