## Uses of Interface
org.apache.mahout.math.random.Sampler

Packages that use Sampler
org.apache.mahout.math.random

Uses of Sampler in org.apache.mahout.math.random

Classes in org.apache.mahout.math.random that implement Sampler
`class` `AbstractSamplerFunction` This shim allows samplers to be used to initialize vectors.
`class` `ChineseRestaurant` Generates samples from a generalized Chinese restaurant process (or Pittman-Yor process).
`class` `Empirical` Samples from an empirical cumulative distribution.
`class` `IndianBuffet<T>` Samples a "document" from an IndianBuffet process.
`class` `Missing<T>` Models data with missing values.
`class` `Multinomial<T>` Multinomial sampler that allows updates to element probabilities.
`class` `MultiNormal` Samples from a multi-variate normal distribution.
`class` `Normal`
`class` `PoissonSampler` Samples from a Poisson distribution.

Constructors in org.apache.mahout.math.random with parameters of type Sampler
`Missing(double p, Sampler<T> delegate)`
`Missing(double p, Sampler<T> delegate, T missingMarker)`
`Missing(int seed, double p, Sampler<T> delegate, T missingMarker)`

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