Direct Graphical Models library v1.4.0 has been just released with lots of improvements and bug fixes since v1.3.1, including improved performance, simplified user interface and much of new functionality, like:
- new feature extraction module,
- new advanced pairwise potentials,
- extended visualization engine, and
- evaluation of the classification results, etc.
DGM is a C++ library implementing various tasks in probabilistic graphical models with pairwise dependencies. The library aims to be used for the Markov and Conditional Random Fields (MRF / CRF), Markov Chains, Bayesian Networks, etc.