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