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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. |
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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