Running the following with the current registry version of Soss and on the master bran

Are you on 1.2.0 ? <div class="snippet-clipboard-c

Thanks <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-u

Fixed in v0.8: <div class="highlight highlight-source-julia notranslate position-r

Error when running the example in the readme about soss.jl HOT 5 CLOSED

cscherrer commented on May 19, 2024

Error when running the example in the readme

from soss.jl.

Comments (5)

kskyten commented on May 19, 2024

The example works in the dev branch.

from soss.jl.

commented on May 19, 2024

Are you on 1.2.0?

julia> using Soss, Random;

julia> m = @model X begin
           β ~ Normal() |> iid(size(X,2))
           y ~ For(eachrow(X)) do x
               Normal(x' * β, 1)
           end
       end;

julia> Random.seed!(3);

julia> X = randn(6,2);

julia> rand(m(X=X));

(v1.2) pkg> status Soss
    Status `~/.julia/environments/v1.2/Project.toml`
  [0bf59076] AdvancedHMC v0.2.13
  [31c24e10] Distributions v0.21.8
  [bbc10e6e] DynamicHMC v2.1.1
  [1a297f60] FillArrays v0.7.4
  [f6369f11] ForwardDiff v0.10.6
  [6fdf6af0] LogDensityProblems v0.9.2
  [d8e11817] MLStyle v0.3.1
  [91a5bcdd] Plots v0.27.0
  [8ce77f84] Soss v0.7.0 #master (https://github.com/cscherrer/Soss.jl.git)
  [4c63d2b9] StatsFuns v0.9.0
  [84d833dd] TransformVariables v0.3.8
  [de0858da] Printf 
  [9a3f8284] Random 
  [10745b16] Statistics

from soss.jl.

kskyten commented on May 19, 2024

Yes, I'm using 1.2.0.

from soss.jl.

cscherrer commented on May 19, 2024

Thanks @kskyten, I think this is due to a change in GeneralizedGenerated 0.2; I didn't have version upper bounds (oops).

Works in dev (as you say), should also work to downgrade GeneralizedGenerated

from soss.jl.

cscherrer commented on May 19, 2024

Fixed in v0.8:

julia> using Soss, Random

julia> m = @model X begin
                  β ~ Normal() |> iid(size(X,2))
                  y ~ For(eachrow(X)) do x
                      Normal(x' * β, 1)
                  end
              end;

julia> Random.seed!(3);

julia> X = randn(6,2)
6×2 Array{Float64,2}:
  1.19156    0.100793  
 -2.51973   -0.00197414
  2.07481    1.00879   
 -0.97325    0.844223  
 -0.101607   1.15807   
 -1.54251   -0.475159  

julia> rand(m(X=X))
(X = [1.1915557734285787 0.10079289135480324; -2.5197330871745263 -0.0019741367391015213; … ; -0.1016067940589428 1.158074626662026; -1.5425131978228126 -0.47515878362112707], β = [0.07187269298745927, -0.5128103336795292], y = [0.10079289135480324, -2.5197330871745263, 2.0748097755419757, 0.8442227439533416, 1.158074626662026, -0.47515878362112707])