## Package org.apache.mahout.math.random

Interface Summary
Sampler<T>: Samples from a generic type.

Class Summary
AbstractSamplerFunction: This shim allows samplers to be used to initialize vectors.
ChineseRestaurant: Generates samples from a generalized Chinese restaurant process (or Pittman-Yor process).
Empirical: Samples from an empirical cumulative distribution.
IndianBuffet<T>: Samples a "document" from an IndianBuffet process.
IndianBuffet.IdentityConverter: Just converts to an integer.
IndianBuffet.StringConverter: Converts to a string.
IndianBuffet.WordConverter: Converts to one of a list of common English words for reasonably small integers and converts to a token like w_92463 for big integers.
Missing<T>: Models data with missing values.
Multinomial<T>: Multinomial sampler that allows updates to element probabilities.
MultiNormal: Samples from a multi-variate normal distribution.
Normal
PoissonSampler: Samples from a Poisson distribution.
WeightedThing<T>: Handy for creating multinomial distributions of things.

Exception Summary
IndianBuffet.ImpossibleException

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