Package | Description |
---|---|
de.jstacs.sequenceScores.statisticalModels.trainable |
Provides all
TrainableStatisticalModel s, which can
be learned from a single DataSet . |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared | |
de.jstacs.sequenceScores.statisticalModels.trainable.mixture |
This package is the super package for any mixture model.
|
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif |
Class and Description |
---|
MixtureTrainSM
The class for a mixture model of any
TrainableStatisticalModel s. |
StrandTrainSM
This model handles sequences that can either lie on the forward strand or on
the reverse complementary strand.
|
Class and Description |
---|
AbstractMixtureTrainSM
This is the abstract class for all kinds of mixture models.
|
MixtureTrainSM
The class for a mixture model of any
TrainableStatisticalModel s. |
Class and Description |
---|
AbstractMixtureTrainSM
This is the abstract class for all kinds of mixture models.
|
AbstractMixtureTrainSM.Algorithm
This
enum defines the different types of algorithms that can
be used in an AbstractMixtureTrainSM . |
AbstractMixtureTrainSM.Parameterization
This
enum defines the different types of parameterization
for a probability that can be used in an AbstractMixtureTrainSM . |
Class and Description |
---|
AbstractMixtureTrainSM
This is the abstract class for all kinds of mixture models.
|
AbstractMixtureTrainSM.Algorithm
This
enum defines the different types of algorithms that can
be used in an AbstractMixtureTrainSM . |
AbstractMixtureTrainSM.Parameterization
This
enum defines the different types of parameterization
for a probability that can be used in an AbstractMixtureTrainSM . |