Bayesian network for classification using PyMc or PyMc3 I am seraching for a  while  an example  on how to use  PyMc/PyMc3 to do  classification task, but have not  found  an concludent   example  regarding  on how to do   the  predicton on a  new data point.
I am currious if some   could   give  me some references.
pymc will not provide you pretty sklearn-style .predict method for this case, however you can do it on your own. The idea is simple enough: you should draw coefficients for the classifier using pymc, and after it use them for the classifier itself manually. 

You can see a very basic example at this blogpost or more complicated case at pymc3 documentation.