Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.Constraint

Packages that use Constraint

de.jstacs.sequenceScores.statisticalModels.trainable.discrete
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.

Uses of Constraint in de.jstacs.sequenceScores.statisticalModels.trainable.discrete

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete that return Constraint

protected Constraint

Constraint.clone()

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

static void	ConstraintManager.computeFreqs(double ess, Constraint... constr) This method computes the (smoothed) relative frequencies.
static double	ConstraintManager.countInhomogeneous(AlphabetContainer alphabets, int length, DataSet data, double[] weights, boolean reset, Constraint... constr) Fills the (inhomogeneous) Constraint constr with the weighted absolute frequencies of the DataSet data.
static double	ConstraintManager.getEntropy(Constraint c) Tries to compute the entropy of a Constraint as exact as possible.
static double	ConstraintManager.getLogGammaSum(Constraint c, double ess) Computes the sum of the differences between the logarithmic values of the prior knowledge and all counts of a Constraint c.

Uses of Constraint in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

Subclasses of Constraint in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

protected class

HomogeneousTrainSM.HomCondProb This class handles the (conditional) probabilities of a homogeneous model in a fast way.

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous with parameters of type Constraint

protected int

HomogeneousTrainSM.chooseFromDistr(Constraint distr, int start, int end, double randNo) Chooses a value in [0,end-start] according to the distribution encoded in the frequencies of distr between the indices start and end.

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

Subclasses of Constraint in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

class	InhCondProb This class handles (conditional) probabilities of sequences for inhomogeneous models.
class	InhConstraint This class is the superclass for all inhomogeneous constraints.
class	MEMConstraint This constraint can be used for any maximum entropy model (MEM) application.