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## 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.

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