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| Packages that use MixtureDiffSM | |
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| 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.mixture | Provides DifferentiableSequenceScores that are mixtures of other DifferentiableSequenceScores. |
| Uses of MixtureDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable |
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| Methods in de.jstacs.sequenceScores.statisticalModels.differentiable that return MixtureDiffSM | |
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static MixtureDiffSM |
DifferentiableStatisticalModelFactory.createMixtureModel(DifferentiableStatisticalModel[] models)
This method allows to create a MixtureDiffSM that models a mixture of individual component DifferentiableStatisticalModels. |
| Uses of MixtureDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture |
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| Subclasses of MixtureDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture | |
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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 | |
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MixtureDiffSM |
MixtureDiffSM.clone()
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