Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.SequenceIterator

Packages that use SequenceIterator

de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

This package contains various inhomogeneous models.

Uses of SequenceIterator in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous that return SequenceIterator

SequenceIterator

SequenceIterator.clone()

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type SequenceIterator

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.
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.
void	MEM.train(SequenceIterator s, byte algo, TerminationCondition condition, SafeOutputStream sostream) This method approximates the distribution either analytically or numerically.

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type SequenceIterator

MEMTools.DualFunction(SequenceIterator it, MEMConstraint[] constraints)
The constructor of a dual function.