PyPNL is a probabilistic network library in Python. The library consists of a Python API which interfaces to state of the art C/C++ inference and learning engines. The API design is modular and allows for plug-ins which augment functionality. PyPNL comes with documentation, examples, and a test suite.
The PyPNL library has a rich set of features for representation, inference, learning and actions using probabilistic networks.
- Discrete nodes
- Continuous nodes
- Utility nodes
- Decision nodes
- Static Bayesian networks
- Dynamic Bayesian networks
- Markov random fields
- Limited memory influence diagrams
- Exact enumeration
- Junction Tree
- Pearl
- Gibbs sampling
- K2
- Chow-Liu
- Decision nodes
Stay tuned!
Stay tuned!
Stay tuned!