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I got the idea that using mk_bnet function to construct the Bayesian network
with
conditional probabilities, but I can not figure out how to assign values to
those nodes.
The nodes in our problem have both probabilities and values, for example, the
rain is
30% to be large which is 100 mm/day.
And the deterministic nodes which are calculated by parent nodes' values, can
they be
constructed by deterministic_CPD?
I know this may not be a issue for expert, but please help, thank you!!
Original issue reported on code.google.com by [email protected] on 11 Jul 2012 at 6:54
The text was updated successfully, but these errors were encountered:
Original issue reported on code.google.com by
[email protected]
on 11 Jul 2012 at 6:54The text was updated successfully, but these errors were encountered: