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eBay / bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
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More than marginals? #13

Open chebee7i opened 10 years ago

chebee7i commented 10 years ago

Is it possible to obtain various joint distributions instead of marginals? For example, in the Monty Hall example, I'd want something like: g.jq(guest_door='A') to display the joint distribution P(monty_door, prize_door | guest_door='A'). I realize this doesn't scale well when the number of left-over variables is large, and I'm okay if there isn't a magic one-liner function jq to prepare this information.

nnewey commented 10 years ago

This is not yet possible, but on the todo list. I will push it up the priority chain.