I struggle to debug this seemingly simple model: with pm.Model() as model: ratio = pm.Dirichlet('ratios', a=alpha, testval=start) obs = pm.Multinomial('observations', n=total, p=ratio, observed=local_counts) trace = pm.sample(draws=1000, cores=8) It fails with ValueError: Bad initial …

If all(np.isfinite(q0)) is False, it would means some starting value is non-finite. Sometimes it might not be visible in the test point, as in this case the free parameters are actually the transformed version of the Dirichlet. Which means internally, the test_point is transformed (on to the real …

Large Feature Number Dirichlet

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junpenglao December 5, 2018, 2:05pm 6

Sounds like there is something wrong with the gradient - try following the steps in How to track a 'nan energy'?

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Large Feature Number Dirichlet

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