| 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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