Frozen or non-adaptive distribution for random variable

Questions
10

Thank you Christian. That thread with the updated API yields the following code, which will fix the shaker volume variables so they do not update:

import theano.tensor as tt
rand_stream = tt.random.utils.RandomStream()

with pm.Model() as model:
    yeast_conc = pm.Normal("yeast conc", 
                           mu=2 * billion, sd=0.4 * billion)

    shaker1_vol = pm.Deterministic("shaker1 vol", 
                                rand_stream.normal(9.0, 0.05))
    shaker2_vol = pm.Deterministic("shaker2 vol", 
                                rand_stream.normal(9.0, 0.05))
    shaker3_vol = pm.Deterministic("shaker3 vol", 
                                rand_stream.normal(9.0, 0.05))

I added similar code to an example in the notebook link (previous post) in case others need to solve the same problem.

Thanks,
Greg

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