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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