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| Packages that use MEM | |
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| de.jstacs.sequenceScores.statisticalModels.trainable.discrete | |
| de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous | This package contains various inhomogeneous models. |
| Uses of MEM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete |
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| Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete that return MEM | |
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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. |
| Uses of MEM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
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| Fields in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous declared as MEM | |
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protected MEM[] |
MEManager.factors
The independent maximum entropy models. |
| Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous that return MEM | |
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MEM |
MEM.clone()
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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. |
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