Packages that use de.jstacs.sequenceScores |
de.jstacs.sequenceScores |
Provides all SequenceScore s, which can be used to score a Sequence , typically using some model assumptions. |
de.jstacs.sequenceScores.differentiable |
|
de.jstacs.sequenceScores.differentiable.logistic |
|
de.jstacs.sequenceScores.statisticalModels |
Provides all StatisticalModel s, which can compute a proper (i.e., normalized) likelihood over the input space of sequences. |
de.jstacs.sequenceScores.statisticalModels.differentiable |
Provides all DifferentiableStatisticalModel s, which can compute the gradient with
respect to their parameters for a given input Sequence . |
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
Provides DifferentiableStatisticalModel s that are directed graphical models. |
de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous |
Provides DifferentiableStatisticalModel s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence |
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture |
Provides DifferentiableSequenceScore s that are mixtures of other DifferentiableSequenceScore s. |
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |
|
de.jstacs.sequenceScores.statisticalModels.trainable |
Provides all TrainableStatisticalModel s, which can
be learned from a single DataSet . |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete |
|
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous |
|
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
This package contains various inhomogeneous models. |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
|
de.jstacs.sequenceScores.statisticalModels.trainable.hmm |
The package provides all interfaces and classes for a hidden Markov model (HMM). |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models |
The package provides different implementations of hidden Markov models based on AbstractHMM |
de.jstacs.sequenceScores.statisticalModels.trainable.mixture |
This package is the super package for any mixture model. |
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif |
|
de.jstacs.utils |
This package contains a bundle of useful classes and interfaces like ... |