Uses of Class
com.imsl.stat.Random

Packages that use Random

Package	Description
com.imsl.datamining	Data mining and machine learning.
com.imsl.datamining.neural	Neural networks.
com.imsl.math	Mathematical functions and algorithms.
com.imsl.stat	Statistical methods.
com.imsl.stat.distributions	Probability distributions and parameter estimation.

Uses of Random in com.imsl.datamining

Methods in com.imsl.datamining that return Random

Modifier and Type	Method and Description
Random	CrossValidation.getRandomObject() Returns the random object being used in the permutation of the observations.
Random	PredictiveModel.getRandomObject() Returns the random object being used in the permutation of the observations.

Methods in com.imsl.datamining with parameters of type Random

Modifier and Type	Method and Description
void	BootstrapAggregation.setRandomObject(Random r) Sets a random object for the bootstrap random sampling scheme.
void	CrossValidation.setRandomObject(Random r) Sets the random object to be used in the permutation of observation data.
void	PredictiveModel.setRandomObject(Random r) Sets the random object to be used in the permutation of observation data.
void	KohonenSOM.setWeights(Random random) Sets the weights of the nodes using a Random object.

Uses of Random in com.imsl.datamining.neural

Methods in com.imsl.datamining.neural that return Random

Modifier and Type	Method and Description
Random	EpochTrainer.getRandom() Returns the random number generator used to perturb the stage 1 guesses.

Methods in com.imsl.datamining.neural with parameters of type Random

Modifier and Type	Method and Description
void	EpochTrainer.setRandom(Random random) Sets the random number generator used to perturb the initial stage 1 guesses.
void	EpochTrainer.setRandomSamples(Random randomA, Random randomB) Sets the random number generators used to select random training patterns in stage 1.

Uses of Random in com.imsl.math

Methods in com.imsl.math that return Random

Modifier and Type	Method and Description
Random	NelderMead.getRandomObject() Returns the random object being used in the computation of the vertices of the initial complex.

Methods in com.imsl.math with parameters of type Random

Modifier and Type	Method and Description
void	NelderMead.setRandomObject(Random r) Sets the random object to be used in the computation of the vertices of the complex.

Uses of Random in com.imsl.stat

Methods in com.imsl.stat with parameters of type Random

Modifier and Type	Method and Description
void	RandomSamples.setRandomObject(Random r) Sets the seed for the random number generator.
void	ExtendedGARCH.setRandomObject(Random r) Sets the random object.

Constructors in com.imsl.stat with parameters of type Random

Constructor and Description
ClusterKMeans(double[][] x, int k, Random r) Constructor for ClusterKMeans using the K-means++ algorithm to set the initial seeds.
RandomSamples(Random r) Constructor for the RandomSamples class.

Uses of Random in com.imsl.stat.distributions

Methods in com.imsl.stat.distributions with parameters of type Random

Modifier and Type	Method and Description
void	MaximumLikelihoodEstimation.setRandomObject(Random r) Sets the random object to be used in the Nelder-Mead method.