Package 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
    Description
    int
    getSeed()
    Gets the seed for the random number generations
    void
    setSeed(int seed)
    Set the seed for random number generation.

  • Method Details

    • 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