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Interface Summary | |
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Sampler<T> | Samples from a generic type. |
Class Summary | |
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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 | |
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IndianBuffet.ImpossibleException |
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