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

All Methods Instance Methods Abstract Methods
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 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