Package | Description |
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de.jstacs.sequenceScores.statisticalModels.trainable.discrete | |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
This package contains various inhomogeneous models.
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Modifier and Type | Method and Description |
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static MEM[] |
ConstraintManager.disconnect(AbstractList<int[]> list,
int[] alphabetLength,
ConstraintManager.Decomposition decomposition)
This method tries to disconnect the constraints and create the models.
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Modifier and Type | Field and Description |
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protected MEM[] |
MEManager.factors
The independent maximum entropy models.
|
Modifier and Type | Method and Description |
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MEM |
MEM.clone() |
protected MEM[] |
MEManager.getFactors(ArrayList<int[]> list,
boolean reduce,
ConstraintManager.Decomposition decomposition)
This method returns an array of independent maximum entropy models parsed from the given constraints.
|
protected MEM[] |
MEManager.getFactors(String constraints,
boolean reduce,
ConstraintManager.Decomposition decomposition)
This method returns an array of independent maximum entropy models parsed from the given constraints.
|