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Hello, I am trying to initialize a simple toy model with the parameters of a GMM (m_s and τ_s ) as point masses, however I get an error _ERROR: The number of means and precisions in NormalMixture must be at least 2. Got 1 means and 1 precisions._
@modelfunctionlGMM_model(y, μx0, τx0)
# Switch
θ =0.5
m_s= [0.0, 0.0]
τ_s = [0.01, 0.001]
xprior ~Normal(mean = μx0, precision = τx0)
c ~Bernoulli(θ)
s ~NormalMixture(switch=c, m=m_s, p=τ_s)
x ~Normal(mean = xprior, precision =0.01)
w := x + s
y ~Normal(mean = w, precision =0.01)
end
What is is strange is that the initializantion works if I define the parameters as tuples
m_s= (0.0, 0.0) τ_s = (0.01, 0.001)
The text was updated successfully, but these errors were encountered:
@wouterwln, the @model macro creates a single constant for m_s instead of an array of individual constants. I'm unsure of the best approach to fix this. Additionally, I'm not certain why it works for tuples. I recommend double-checking if it functions correctly or if it produces arbitrary inference results due to some Julia dispatch magic.
Hello, I am trying to initialize a simple toy model with the parameters of a GMM (m_s and τ_s ) as point masses, however I get an error
_ERROR: The number of means and precisions in
NormalMixture
must be at least 2. Got1
means and1
precisions._What is is strange is that the initializantion works if I define the parameters as tuples
m_s= (0.0, 0.0) τ_s = (0.01, 0.001)
The text was updated successfully, but these errors were encountered: