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## Package de.jstacs.sequenceScores

Provides all `SequenceScore`s, which can be used to score a `Sequence`, typically using some model assumptions.

See:
Description

Interface Summary
SequenceScore | This interface defines a scoring function that assigns a score to each input sequence.

## Package de.jstacs.sequenceScores Description

Provides all `SequenceScore`s, which can be used to score a `Sequence`, typically using some model assumptions. Important special cases of `SequenceScore`s are `DifferentiableSequenceScore`s, which can compute the gradient with respect to their parameter for a given input sequence, including logistic regression, and `StatisticalModel`s, which can compute a proper (i.e., normalized) likelihood over the input space of sequences. These are located in the sub-package `de.jstacs.sequenceScores.statisticalModels`.
`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.

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