Interface | Description |
---|---|
Sampler<T> |
Samples from a generic type.
|
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 | Description |
---|---|
IndianBuffet.ImpossibleException |
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