package prbnmcn-dagger-test

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Setup and helper definitions
Regression using Lmh_inference
Regression using Lmh_incremental_inference
Regression using Smc_inference

package prbnmcn-dagger-test

prbnmcn-dagger-test
- Dagger_tests
  - Basic_consistency
    
    Dist
    
    Dist_smc
    
    Dists
    
    Gen
    
    Infix
    
    Rational
    
    Lmh
    
    Lmh_incremental
    
    Make
    
    Dists
    
    Lang
    
    Array_ops
    
    Infix
    
    List_ops
    
    Seq_ops
    
    N
    
    Runner
    
    Smc_stratified
    
    Smc_systematic
  - Biased_coin
  - Diffusions
  - Linear_regression
    
    Smc
    
    FM
    
    Basis
    
    Map
    
    R
    
    R2
    
    R
    
    Table
    
    Traced
    
    Traced_incremental
  - Map_array
    
    Pure
    
    Infix
  - Poly
    
    Poly
    
    Smc
    
    Array_ops
    
    Infix
    
    List_ops
    
    Seq_ops
    
    Smc_types
  - Random_walks
  - Resampling_test
    
    Dist
    
    R
    
    Rat
  - Sprinkler
    
    Traced
    
    Traced_incremental
  - Yield

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Testing various backends on bayesian linear regression

Setup and helper definitions

Definition of the non-linearity to infer

val nonlinearity : float -> float

val intercept : float

val coeff : float

Sampling of a synthetic data set

val rng_state : Dagger.RNG.t

val synthetic_data_set : (float * float) list

Plotting helpers

val from_parameters : intercept:float -> coeff:float -> Plot.r2 list

val plot : string -> (float * float) array -> unit

Regression using Lmh_inference

module Traced : sig ... end

Regression using Lmh_incremental_inference

module Traced_incremental : sig ... end

Regression using Smc_inference

module Smc : sig ... end

val tests : QCheck.Test.t list