I tried to rerun the code of this example that work in pymc3 def normal_sim(a, b): return np.random.normal(a, b, 1000) with pm.Model() as example: a = pm.Normal("a", mu=0, sigma=5) b = pm.HalfNormal("b", sigma=1) s = pm.Simulator("s", normal_sim, params=(a, b), sum_stat="sort", eps…

The simulator function API for Simulator is different in V4. It should be something like: def normal_sim(rng, a, b, size=None): return rng.normal(a, b, size=size)

Smc in pymc v4 gives too many arguments

Questions v5

cluhmann May 26, 2022, 6:53pm 4

It’s the new(ish) numpy random number generation (RNG) scheme. Details here.

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Smc in pymc v4 gives too many arguments

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