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## Package cern.jet.random.sampling

Samples (picks) random subsets of data sequences.

See:
Description

Class Summary
RandomSampler | Space and time efficiently computes a sorted Simple Random Sample Without Replacement (SRSWOR), that is, a sorted set of `n` random numbers from an interval of `N` numbers; Example: Computing `n=3` random numbers from the interval `[1,50]` may yield the sorted random set `(7,13,47)`.
RandomSamplingAssistant | Conveniently computes a stable Simple Random Sample Without Replacement (SRSWOR) subsequence of `n` elements from a given input sequence of `N` elements; Example: Computing a sublist of `n=3` random elements from a list `(1,...,50)` may yield the sublist `(7,13,47)`.
WeightedRandomSampler | 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.

## Package cern.jet.random.sampling Description

Samples (picks) random subsets of data sequences.

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