Package de.jstacs.sequenceScores.statisticalModels

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.

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.

Package de.jstacs.sequenceScores.statisticalModels Description

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.