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cscherrer avatar cscherrer commented on June 8, 2024

Your model doesn't make any random choices. Rather than sampling from a chain, the model is the chain. You need a ~ instead:

julia> m1 = @model begin
       mc1 ~ Chain(Normal(0.0, 1.0)) do x Normal(x, 1.0) end
       return mc1
       end
@model begin
        mc1 ~ Chain(Normal(0.0, 1.0)) do x
                Normal(x, 1.0)
            end
        return mc1
    end


julia> r1 = rand(m1())
Realized{Random._GLOBAL_RNG,UInt64,Chain{ggfunc-function,Normal{(, ), Tuple{Float64, Float64}}}}(MeasureTheory.ResettableRNG{Random._GLOBAL_RNG, UInt64}(Random._GLOBAL_RNG(), 0x7f03d16a3be18246), Chain{ggfunc-function,Normal{(:μ, :σ), Tuple{Float64, Float64}}}(function = (x;) -> begin
    (Main).Normal(x, 1.0)
end, Normal{(:μ, :σ), Tuple{Float64, Float64}}((μ = 0.0, σ = 1.0))))

julia> collect(take(r1, 10))
10-element Vector{Any}:
 0.12741258475656037
 1.6417485229031188
 2.516541033750806
 2.8617087554639085
 4.121753061920916
 5.781340260119851
 4.174563930105311
 4.485225714203611
 4.696111390440044
 5.622520863790941

from soss.jl.

FalkoSp avatar FalkoSp commented on June 8, 2024

Ah. Stupid mistake. Sorry for bothering and thank you for the answer!
Kind greetings!

from soss.jl.

cscherrer avatar cscherrer commented on June 8, 2024

No worries, hope you enjoy the package!

from soss.jl.

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