DGM Module

Collaboration diagram for DGM Module:

Modules
	Training
	Sub-module containing classes for training (learning) probabilistic models.
	Graph Building
	Sub-module containing methods for building arbitrary pairwise and dense graphical models.
	Inference / Decoding
	Sub-module containing classes for performing precise and approximate inference in probabilistic models.
	Parameter Estimation
	Sub-module containing techniques for estimation the probabilistic models' control parameters.
	Evaluation
	Sub-module containing classes and methods for evaluation the classification results.

Detailed Description

Main DGM Module