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

ricardoV94 September 7, 2022, 9:26am 10

And this is the approach suggested in the comment: pymc/metropolis.py at main · pymc-devs/pymc · GitHub

Topic		Replies	Views
Issue with categorical.dist Questions	0	472	May 27, 2019
Trouble specificying X \| a, b, c, d ~ Categorical( . ) Questions	5	508	March 2, 2019
Multivariatre categorical variable with different values Questions	3	2353	August 7, 2018
Strange error with Categorical distribution Questions	3	488	August 15, 2018
pm.Categorical behaves differently in a model versus as pm.Categorical.dist Questions	2	929	August 8, 2018

Equvilant APIs in PyMC v4

Related topics