Make (prbnmcn-dagger-gsl.Gsl

Parameters

module Gsl : GSL_SIG

val gsl_rng : Gsl.Rng.rng_type Stdlib.ref

val rng : Stdlib.Random.State.t -> Gsl.Rng.t

val dist0 : (Gsl.Rng.t -> 'a) -> ('b -> Dagger.Log_space.t) -> 'b Dagger.Dist.t

val dist1 : 
  ('a -> Gsl.Rng.t -> 'b) ->
  ('c -> 'd -> Dagger.Log_space.t) ->
  'e ->
  'f Dagger.Dist.t

val dist2 : 
  ('a -> 'b -> Gsl.Rng.t -> 'c) ->
  ('d -> 'e -> 'f -> Dagger.Log_space.t) ->
  'g ->
  'h ->
  'i Dagger.Dist.t

val kernel1 : 
  ('a -> 'b -> Gsl.Rng.t -> 'c) ->
  ('d -> 'e -> 'f -> Dagger.Log_space.t) ->
  'g ->
  'h ->
  'i Dagger.Dist.t

val float : float -> float Dagger.Dist.t

val int : int -> int Dagger.Dist.t

val bool : int Dagger.Dist.t

val gaussian : mean:float -> std:float -> float Dagger.Dist.t

val gaussian_tail : a:float -> std:float -> float Dagger.Dist.t

val laplace : a:float -> float Dagger.Dist.t

val exppow : a:float -> b:float -> float Dagger.Dist.t

val cauchy : a:float -> float Dagger.Dist.t

val rayleigh : sigma:float -> float Dagger.Dist.t

val rayleigh_tail : a:float -> sigma:float -> float Dagger.Dist.t

val landau : float Dagger.Dist.t

val gamma : a:float -> b:float -> float Dagger.Dist.t

val weibull : a:float -> b:float -> float Dagger.Dist.t

val flat : float -> float -> float Dagger.Dist.t

val bernoulli : bias:float -> bool Dagger.Dist.t

val binomial : float -> int -> int Dagger.Dist.t

val geometric : p:float -> int Dagger.Dist.t

val exponential : rate:float -> float Dagger.Dist.t

val poisson : rate:float -> int Dagger.Dist.t

val categorical : 
  (module Stdlib.Hashtbl.S with type key = 'a) ->
  ('a0 * float) array ->
  'a1 Dagger.Dist.t

val beta : a:float -> b:float -> float Dagger.Dist.t

val dirichlet : alpha:float array -> float array Dagger.Dist.t

val lognormal : zeta:float -> sigma:float -> float Dagger.Dist.t

val chi_squared : nu:float -> float Dagger.Dist.t

val mixture : float array -> 'a Dagger.Dist.t array -> 'a0 Dagger.Dist.t