I am trying to implement a code created originally here . What I have is this model: with pm.Model() as model: sigma = pm.HalfNormal('sigma', 1, testval=.1) mu = pm.Normal('mu', 0, sigma, testval=.1) nu = pm.Exponential('nu', 1./10) logs = pm.GaussianRandomWalk('logs', sigma**-2, s…

SamplingError: Initial evaluation of model at starting point failed!

AlexAndorra December 8, 2022, 5:20pm 7

Ah then going with the defaults should make your life easier – and that’s a general rule with PyMC

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