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StatisticalModel
s, which can compute a proper (i.e., normalized) likelihood over the input space of sequences.
See:
Description
Interface Summary | |
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StatisticalModel | This interface declares methods of a statistical model, i.e., a SequenceScore that defines a proper likelihood
over the input Sequence s. |
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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