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## 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, 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
`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

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