Package weka.core

Interface Randomizable

All Known Implementing Classes:
AdaBoostM1, Agrawal, Bagging, BayesNet, BFTree, BIRCHCluster, ClassBalancedND, ClassificationGenerator, ClusterGenerator, Cobweb, CostSensitiveClassifier, CVParameterSelection, Dagging, DataGenerator, DataNearBalancedND, Decorate, EM, END, Expression, FarthestFirst, Grading, GridSearch, LED24, LibSVM, LogitBoost, MetaCost, MexicanHat, MiddleOutConstructor, MIEMDD, MultiBoostAB, MultiClassClassifier, MultilayerPerceptron, MultiScheme, ND, RacedIncrementalLogitBoost, RandomCommittee, RandomForest, RandomizableClassifier, RandomizableClusterer, RandomizableDensityBasedClusterer, RandomizableIteratedSingleClassifierEnhancer, RandomizableMultipleClassifiersCombiner, RandomizableSingleClassifierEnhancer, RandomizableSingleClustererEnhancer, RandomRBF, RandomSubSpace, RandomTree, RDG1, RegressionGenerator, REPTree, RotationForest, sIB, SimpleCart, SimpleKMeans, Stacking, StackingC, SubspaceCluster, ThresholdSelector, Vote, XMeans
public interface Randomizable
Interface to something that has random behaviour that is able to be seeded with an integer.
Version:
$Revision: 1.3 $
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