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## Package de.jstacs.sequenceScores.statisticalModels.trainable.mixture

This package is the super package for any mixture model.

See:
Description

Class Summary
AbstractMixtureTrainSM | This is the abstract class for all kinds of mixture models.
MixtureTrainSM | The class for a mixture model of any `TrainableStatisticalModel`s.
StrandTrainSM | This model handles sequences that can either lie on the forward strand or on the reverse complementary strand.

Enum Summary
AbstractMixtureTrainSM.Algorithm | This `enum` defines the different types of algorithms that can be used in an `AbstractMixtureTrainSM`.
AbstractMixtureTrainSM.Parameterization | This `enum` defines the different types of parameterization for a probability that can be used in an `AbstractMixtureTrainSM`.

## Package de.jstacs.sequenceScores.statisticalModels.trainable.mixture Description

This package is the super package for any mixture model. The most interesting class of this package is the `AbstractMixtureTrainSM`. This class currently enables to train the model using EM or Gibbs Sampling. All mixtures of `TrainableStatisticalModel`s should be extensions of `AbstractMixtureTrainSM`.

See Also:
  `SamplingComponent`

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