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Bayesian Network Models in PyMC3 and NetworkX
Hi Tbsexton
thanks for your prompt reply! Much appreciated
…On Mon, 1 Jul 2019 at 15:52, Thurston Sexton ***@***.***> wrote:
Wow, I had no idea there were comments here! Thanks to all for checking
out the example. For those of you with issues/ideas (especially networkx v2
problems), check out the repository
<https://github.com/usnistgov/pmml_pymcBN> that automates a lot of the
underlying mechanical/boilerplate code in this example. This notebook was
really just a proof-of-concept for that repository.
I haven't gone back to the code for a while, but if there's interest I
would be happy to update things to newer pymc3 features. Please see if your
above issues persist in the more mature repository. Thanks!
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@NelisW certainly, and like I said, feel free to open an issue if something works unexpectedly on that repo (as I said, it's been a while).
If you are having issues with BN.edges['C3']['D4']['bin'], substitute for BN.edges['C3','D4']['bin'].
As described in the migration guide mentioned before
G.edge have been removed in favor of using G.nodes[n] and G.edges[u, v]
Do you have any example for dynamic BN simulated on PYMC3?
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Wow, I had no idea there were comments here! Thanks to all for checking out the example. For those of you with issues/ideas (especially networkx v2 problems), check out the repository that automates a lot of the underlying mechanical/boilerplate code in this example. This notebook was really just a proof-of-concept for that repository.
I haven't gone back to the code for a while, but if there's interest I would be happy to update things to newer pymc3 features. Please see if your above issues persist in the more mature repository. Thanks!