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Packages that use MRGParams | |
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de.jstacs.models.mixture | This package is the super package for any mixture model. |
de.jstacs.utils.random | This package contains some classes for generating random numbers |
Uses of MRGParams in de.jstacs.models.mixture |
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Methods in de.jstacs.models.mixture that return MRGParams | |
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protected MRGParams |
AbstractMixtureModel.getMRGParams()
This method creates the parameters used in a multivariate random generator while initialisation. |
Methods in de.jstacs.models.mixture with parameters of type MRGParams | |
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protected double[][] |
StrandModel.doFirstIteration(double[] dataWeights,
MultivariateRandomGenerator m,
MRGParams[] params)
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protected double[][] |
MixtureModel.doFirstIteration(double[] dataWeights,
MultivariateRandomGenerator m,
MRGParams[] params)
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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 MRGParams in de.jstacs.utils.random |
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Subclasses of MRGParams in de.jstacs.utils.random | |
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class |
DiMRGParams
The super container for paramater of dirichlet multivariate random generators. |
class |
DirichletMRGParams
The container for parameter of a Dirichlet random generator. |
class |
ErlangMRGParams
The container for paramater of a Erlang random generator. |
class |
FastDirichletMRGParams
The container for parameter of a Dirichlet random generator that used the same hyperparameter at all positions. |
Methods in de.jstacs.utils.random with parameters of type MRGParams | |
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void |
SoftOneOfN.generate(double[] d,
int start,
int number,
MRGParams p)
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abstract void |
MultivariateRandomGenerator.generate(double[] d,
int start,
int n,
MRGParams p)
Generates a n-dimensional random-array as part of the array d beginning at start . |
void |
ErlangMRG.generate(double[] d,
int start,
int n,
MRGParams p)
|
void |
EqualParts.generate(double[] d,
int start,
int number,
MRGParams p)
|
void |
DirichletMRG.generate(double[] d,
int start,
int n,
MRGParams p)
|
double[] |
MultivariateRandomGenerator.generate(int n,
MRGParams p)
Generates a n-dimensional random-array. |
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