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## Package de.jstacs.sequenceScores.statisticalModels

Provides all `StatisticalModel`s, which can compute a proper (i.e., normalized) likelihood over the input space of sequences.

See:
Description

Interface Summary
StatisticalModel | This interface declares methods of a statistical model, i.e., a `SequenceScore` that defines a proper likelihood over the input `Sequence`s.

## Package de.jstacs.sequenceScores.statisticalModels Description

Provides all `StatisticalModel`s, which can compute a proper (i.e., normalized) likelihood over the input space of sequences.
`StatisticalModel`s can be further differentiated into `TrainableStatisticalModel`s, which can be learned from a single input `DataSet`, and `DifferentiableStatisticalModel`s, which define a proper likelihood but can also compute gradients like `DifferentiableSequenceScore`s. These can be found in the sub-packages `de.jstacs.sequenceScores.statisticalModels.trainable` and `de.jstacs.sequenceScores.statisticalModels.differentiable`, respectively.

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