Discrete

Bernoulli(name, *args, **kwargs)	Bernoulli log-likelihood.
BetaBinomial(name, *args, **kwargs)	Beta-binomial log-likelihood.
Binomial(name, *args, **kwargs)	Binomial log-likelihood.
Categorical(name, *args, **kwargs)	Categorical log-likelihood.
DiscreteUniform(name, *args, **kwargs)	Discrete uniform distribution.
DiscreteWeibull(name, *args, **kwargs)	Discrete Weibull log-likelihood.
Geometric(name, *args, **kwargs)	Geometric log-likelihood.
HyperGeometric(name, *args, **kwargs)	Discrete hypergeometric distribution.
NegativeBinomial(name, *args, **kwargs)	Negative binomial log-likelihood.
OrderedLogistic(name, eta, cutpoints[, ...])	Ordered Logistic distribution.
OrderedProbit(name, eta, cutpoints[, sigma, ...])	Ordered Probit distributions.
Poisson(name, *args, **kwargs)	Poisson log-likelihood.

Note

OrderedLogistic and OrderedProbit: The OrderedLogistic and OrderedProbit distributions expect the observed values to be 0-based, i.e., they should range from 0 to K-1. Using 1-based indexing (like 1, 2, 3,...K) can result in errors.