SequenceScore
s, which can be used to score a Sequence
, typically using some model assumptions.See: Description
Interface  Description 

QuickScanningSequenceScore 
Interface for
SequenceScore that provide additional methods for computing scores of infix sequences
and filtering infix sequences. 
SequenceScore 
This interface defines a scoring function that assigns a score to each input sequence.

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 subpackage 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.