In Julia Turing: getting AssertionError: model isa Model

Specific Domains Probabilistic Programming
2

See https://github.com/TuringLang/DynamicPPL.jl/issues/182

Though I am not sure how one should provide the observations — as part of the model or in the string macro? So the following works for me:

using Turing
@model function gdemo(x, y)
	s² ~ InverseGamma(2, 3)
	m ~ Normal(0, sqrt(s²))
	x ~ Normal(m, sqrt(s²))
	y ~ Normal(m, sqrt(s²))
end

model = gdemo(missing, missing)
prob"x = 3.0, y = 3.0 | model = model, s = 1.0, m = 1.0"
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