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niw =NormalInverseWishart(mu0, kappa, cholesky(Lambda), nu)
# Σ ~ filldist(InverseWishart(niw.nu, niw.Lamchol),K)
Σ ~arraydist([InverseWishart(niw.nu, niw.Lamchol) for i =1:K])
μ ~arraydist([MvNormal(niw.mu, Σ[i]./niw.kappa) for i =1:K])
Description
Can Turing support indexing from pre built arraydists or filldist,I failed to try
ERROR: MethodError: no method matching reconstruct(::Tuple{Int64, Int64, Int64}, ::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true})
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The text was updated successfully, but these errors were encountered:
Minimal working example
Description
Can Turing support indexing from pre built arraydists or filldist,I failed to try
ERROR: MethodError: no method matching reconstruct(::Tuple{Int64, Int64, Int64}, ::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true})
Julia version info
versioninfo()
Manifest
]st --manifest
The text was updated successfully, but these errors were encountered: