Uses of Class
de.jstacs.utils.random.MultivariateRandomGenerator

Packages that use MultivariateRandomGenerator

de.jstacs.sequenceScores.statisticalModels.trainable.mixture	This package is the super package for any mixture model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif
de.jstacs.utils.random	This package contains some classes for generating random numbers

Uses of MultivariateRandomGenerator in de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture that return MultivariateRandomGenerator

protected MultivariateRandomGenerator

AbstractMixtureTrainSM.getMRG() This method creates the multivariate random generator that will be used during initialization.

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture with parameters of type MultivariateRandomGenerator

protected double[][]	AbstractMixtureTrainSM.doFirstIteration(DataSet data, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params) This method will do the first step in the train algorithm for the current model.
protected double[][]	StrandTrainSM.doFirstIteration(double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
protected double[][]	MixtureTrainSM.doFirstIteration(double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
protected abstract double[][]	AbstractMixtureTrainSM.doFirstIteration(double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params) This method will do the first step in the train algorithm for the current model on the internal sample.
double	AbstractMixtureTrainSM.iterate(DataSet data, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params) This method runs the train algorithm for the current model.
protected double	AbstractMixtureTrainSM.iterate(int start, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params) This method runs the train algorithm for the current model and the internal data set.

Uses of MultivariateRandomGenerator in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif with parameters of type MultivariateRandomGenerator

protected double[][]	ZOOPSTrainSM.doFirstIteration(double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
protected double	ZOOPSTrainSM.iterate(int start, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)

Uses of MultivariateRandomGenerator in de.jstacs.utils.random

Subclasses of MultivariateRandomGenerator in de.jstacs.utils.random

class	DirichletMRG This class is a multivariate random generator based on a Dirichlet distribution.
class	EqualParts This class is no real random generator it just returns 1/n for all values.
class	ErlangMRG This class is a multivariate random generator based on a Dirichlet distribution for alpha_i \in N.
class	SoftOneOfN This random generator returns 1-epsilon for one and equal parts for the rest of a random vector.