Skip to content

Discrete factor operations for probabilistic graphical models

License

Notifications You must be signed in to change notification settings

maspitz/pgmfactors

Repository files navigation

pgmfactors

This project implements discrete factor operations useful for probabilistic graphical models. These are useful in the construction of Hidden Markov Models and Bayesian Networks.

The current version of pgmfactors uses the XTensor library's xt::xarray, an n-dimensional array with shape determined at runtime. This is suited for rapid prototyping, model exploration, and structure learning. Later versions of pgmfactors may include xt::xtensor and xt::xtensor_fixed in order to optimize graphical models that are determined at compile time.

Building and installing

See the BUILDING document.

Licensing

Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE.txt or copy at https://www.boost.org/LICENSE_1_0.txt)

About

Discrete factor operations for probabilistic graphical models

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published