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ralmond
Peanut:Parameterized Bayesian Networks, Abstract Classes
This provides support of learning conditional probability tables parameterized using CPTtools. This provides and object oriented layer on top of a CPTtools, to facilitate calculations with Parameterized models for Bayesian networks. Peanut is a collection of abstract classes and generic functions defining a protocol, with the intent that the protocol can be implemented with different Bayes net engines. The companion pacakge PNetica provides an implementation using Netica and RNetica.
Maintained by Russell Almond. Last updated 2 years ago.
bayesian-networkknowledge-representation
15.0 match 1 stars 2.48 score 4 scripts 2 dependents