weka.core

Interface Randomizable

All Known Implementing Classes:

AdaBoostM1, AddNoise, Agrawal, Bagging, BayesNet, BIRCHCluster, Canopy, ClassificationGenerator, ClusterGenerator, Cobweb, CostSensitiveClassifier, CVParameterSelection, DataGenerator, EM, Expression, FarthestFirst, FilteredClassifier, GaussianProcesses, IterativeClassifierOptimizer, LED24, LogitBoost, MexicanHat, MiddleOutConstructor, MultiClassClassifier, MultiClassClassifierUpdateable, MultiFilter, MultilayerPerceptron, MultiScheme, RandomCommittee, RandomForest, RandomizableClassifier, RandomizableClusterer, RandomizableDensityBasedClusterer, RandomizableFilteredClassifier, RandomizableIteratedSingleClassifierEnhancer, RandomizableMultipleClassifiersCombiner, RandomizableParallelIteratedSingleClassifierEnhancer, RandomizableParallelMultipleClassifiersCombiner, RandomizableSingleClassifierEnhancer, RandomizableSingleClustererEnhancer, Randomize, RandomProjection, RandomRBF, RandomSubset, RandomSubSpace, RandomTree, RDG1, RegressionGenerator, ReplaceWithMissingValue, REPTree, Resample, Resample, ReservoirSample, SGD, SGDText, SimpleKMeans, SpreadSubsample, Stacking, SubspaceCluster, Vote, WeightedInstancesHandlerWrapper

public interface Randomizable

Interface to something that has random behaviour that is able to be seeded with an integer.

Version:

$Revision: 8034 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz)

Method Summary

Modifier and Type	Method and Description
int	getSeed() Gets the seed for the random number generations
void	setSeed(int seed) Set the seed for random number generation.

Method Detail

setSeed

void setSeed(int seed)

Set the seed for random number generation.

Parameters:

seed - the seed

getSeed

int getSeed()

Gets the seed for the random number generations

Returns:

the seed for the random number generation