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| 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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