Documentation API of the 'cern.jet.random.sampling.WeightedRandomSampler' Java class

Class WeightedRandomSampler

  • All Implemented Interfaces:
    Serializable, Cloneable

    public class WeightedRandomSamplerextends PersistentObject
    Conveniently computes a stable subsequence of elements from a given input sequence; Picks (samples) exactly one random element from successive blocks of weight input elements each. For example, if weight==2 (a block is 2 elements), and the input is 5*2=10 elements long, then picks 5 random elements from the 10 elements such that one element is randomly picked from the first block, one element from the second block, ..., one element from the last block. weight == 1.0 --> all elements are picked (sampled). weight == 10.0 --> Picks one random element from successive blocks of 10 elements each. Etc. The subsequence is guaranteed to be stable, i.e. elements never change position relative to each other.
    See Also:
    Serialized Form

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