| Class | Description | 
|---|---|
| BernoulliSampler<T> | A sampler implementation built upon a Bernoulli trail. | 
| DistributedRandomSampler<T> | For sampling with fraction, the sample algorithms are natively distributed, while it's not true
 for fixed size sample algorithms. | 
| IntermediateSampleData<T> | The data structure which is transferred between partitions and the coordinator for distributed
 random sampling. | 
| PoissonSampler<T> | A sampler implementation based on the Poisson Distribution. | 
| RandomSampler<T> | A data sample is a set of data selected from a statistical population by a defined procedure. | 
| ReservoirSamplerWithoutReplacement<T> | A simple in memory implementation of Reservoir Sampling without replacement, and with only one
 pass through the input iteration whose size is unpredictable. | 
| ReservoirSamplerWithReplacement<T> | A simple in memory implementation of Reservoir Sampling with replacement and with only one pass
 through the input iteration whose size is unpredictable. | 
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