Clarification needed on error handling when model is misspecified

[albertpod]

Clarification needed on error handling when model is misspecified

[bvdmitri]

Thanks for posting @albertpod !
Using x as an entire array is technically okay, which is what we do in mixture nodes. I think a more practical error message for this scenario could be something like:

Error: `NormalMeanPrecision` expects 2 input arguments, but 3 have been provided `(μ = x[1], μ = x[2], γ=1)`.

or something similar. What do you think?

[albertpod]

Yes, that's a better error message indeed.