Package org.apache.mahout.math.random

Interface Summary

Interface	Description
Sampler<T>	Samples from a generic type.

Class Summary

Class	Description
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

Exception	Description
IndianBuffet.ImpossibleException