Hi all, When I tried to debug my program, I arrived to some kind of misunderstanding. I definitely see that random nodes are changing, but pm.Deterministic remains the same. For example, the following code: with pm.Model() as model: D = tt.as_tensor_variable(5, dtype="int64") μ …

Ah, I jumped to a conclusion because of the tt. in the code. Why are you using .dist with comp? This will also cause problems with updating. comp = pm.Lognormal('comp', mu = μlog, sigma = σlog) should work? Edit: No, it didn’t. I’ll look at it more closely. Edit2: I think it’s just because you’re…

pm.Deterministic remains unchanged although the parameters are changing

Questions v5

aakhmetz October 14, 2022, 10:00am 3

Actually, I am on version 4

the gist is here: 20221014-pymc-question.ipynb · GitHub

Would you have some chance to test it on your system?

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pm.Deterministic remains unchanged although the parameters are changing

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