I have the following code: #std_range = df.std_range.values[:, np.newaxis] #shared(std_range, broadcastable=(False, True)) #x1_shift = ppc['obs'][:K] x1_shift = shared(df['x1'].values[:, np.newaxis], broadcastable=(False, True)) x2obs = df['x2'].values[:, np.newaxis] #Model for x2 with pm.Model() a…

Pm.sample_ppc breaks with AttributeError

junpenglao February 5, 2018, 12:49pm 16

Yeah the bounded discrete is really the challenge here - did you manage to make an unbounded model work (same as the model 2 in Austin’s notebook)?

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