Package | Description |
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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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SequenceIterator |
SequenceIterator.clone() |
Modifier and Type | Method and Description |
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static double |
MEMTools.getExpPartOfProb(MEMConstraint[] constraints,
int[] fulfilled,
SequenceIterator sequence)
This method computes the exponential part of the probability, i.e., everything except the normalization constant.
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int |
MEMConstraint.satisfiesSpecificConstraint(SequenceIterator sequence)
Returns the index of the constraint that is satisfied by
sequence . |
static double |
MEMTools.train(MEMConstraint[] constraints,
int[][] cond,
SequenceIterator sequence,
byte algorithm,
TerminationCondition condition,
OutputStream stream,
int[] alphLen)
This method approximates the distribution either analytically or numerically.
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void |
MEM.train(SequenceIterator s,
byte algo,
TerminationCondition condition,
SafeOutputStream sostream)
This method approximates the distribution either analytically or numerically.
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Constructor and Description |
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DualFunction(SequenceIterator it,
MEMConstraint[] constraints)
The constructor of a dual function.
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