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

Packages that use MultivariateRandomGenerator
de.jstacs.models.mixture This package is the super package for any mixture model. 
de.jstacs.models.mixture.motif   
de.jstacs.utils.random This package contains some classes for generating random numbers 
 

Uses of MultivariateRandomGenerator in de.jstacs.models.mixture
 

Methods in de.jstacs.models.mixture that return MultivariateRandomGenerator
protected  MultivariateRandomGenerator AbstractMixtureModel.getMRG()
          This method creates the multivariate random generator that will be used during initialization.
 

Methods in de.jstacs.models.mixture with parameters of type MultivariateRandomGenerator
protected  double[][] StrandModel.doFirstIteration(double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
           
protected  double[][] MixtureModel.doFirstIteration(double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
           
protected abstract  double[][] AbstractMixtureModel.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.
protected  double[][] AbstractMixtureModel.doFirstIteration(Sample data, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
          This method will do the first step in the train algorithm for the current model.
protected  double AbstractMixtureModel.iterate(int start, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
          This method runs the train algorithm for the current model and the internal data set.
 double AbstractMixtureModel.iterate(Sample data, double[] dataWeights, MultivariateRandomGenerator m, MRGParams[] params)
          This method runs the train algorithm for the current model.
 

Uses of MultivariateRandomGenerator in de.jstacs.models.mixture.motif
 

Methods in de.jstacs.models.mixture.motif with parameters of type MultivariateRandomGenerator
protected  double[][] SingleHiddenMotifMixture.doFirstIteration(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.