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## Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.MixtureTrainSM

Packages that use MixtureTrainSM
de.jstacs.sequenceScores.statisticalModels.trainable | Provides all `TrainableStatisticalModel`s, which can be learned from a single `DataSet`.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |

Uses of MixtureTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable

Methods in de.jstacs.sequenceScores.statisticalModels.trainable that return MixtureTrainSM
`static MixtureTrainSM` | `TrainableStatisticalModelFactory.createMixtureModel(double[] hyper, TrainableStatisticalModel[] model)` This method allows to create a `MixtureTrainSM` that allows to model a `DataSet` as a mixture of individual components.

Uses of MixtureTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Subclasses of MixtureTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared
`class` | `SharedStructureMixture` This class handles a mixture of models with the same structure that is learned via EM.

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