Package de.jstacs.sequenceScores

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

See: Description

Interface Summary

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.

Package de.jstacs.sequenceScores Description

Provides all SequenceScores, which can be used to score a Sequence, typically using some model assumptions. Important special cases of SequenceScores are DifferentiableSequenceScores, which can compute the gradient with respect to their parameter for a given input sequence, including logistic regression, and StatisticalModels, 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.
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.