greetings, i was going through the example notebook Variational Inference: Bayesian Neural Networks since the VI APIs are available in pymc v4. i’ve noticed that the notebook utilized neural_network.out.distribution.p in cell In[11]. but i think that API is deprecated in v4 and/or aesara? the er…

For simple distributions you can do this: import pymc as pm x = pm.Categorical.dist([0.5, 0.5]) isinstance(x.owner.op, pm.Categorical) In the very next release of V4 you will be able to do this for all distributions (Mixture fails with the previous approach): import pymc as pm x = pm.Categorica…

Equvilant APIs in PyMC v4

Questions v5

Johann_Hansing September 7, 2022, 9:30am 13

Looking at the CategoricalGibbsMetropolis code, it seems like I also don’t actually need to use .eval() ?

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Equvilant APIs in PyMC v4

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