Direct Graphical Models
v.1.7.0

Submodule containing methods for building arbitrary pairwise and dense graphical models. More...
Modules  
Graph Extensions  
A set of wrappers for building graphical models for 2D image classifaction.  
Graph Kit  
Kit (factory) for constructing Graphrelated objects.  
Classes  
class  DirectGraphicalModels::CEdgeModelPotts 
Potts Edge Model for dense graphical models. More...  
class  DirectGraphicalModels::CGraph 
Interface class for graphical models. More...  
class  DirectGraphicalModels::CGraph3 
Triple graph class. More...  
class  DirectGraphicalModels::CGraphDense 
Fullyconnected (dense) graph class. More...  
class  DirectGraphicalModels::CGraphPairwise 
Pairwise graph class. More...  
class  DirectGraphicalModels::CGraphWeiss 
Pairwise graph class. More...  
class  DirectGraphicalModels::IEdgeModel 
Interface class for edge models used in dense graphical models. More...  
class  DirectGraphicalModels::IGraphPairwise 
Interface class for graphical models. More...  
Submodule containing methods for building arbitrary pairwise and dense graphical models.
The underlying probability distributions of probabilistic models for sake of simplicity and flexibility of modeling are usually represented in a graphical form (this is why they are often called probabilistic graphical models). A probabilistic graphical model is a diagrammatic representation of a probability distribution. In such a graph there is a node for each random variable and relations between these variables are represented via graph edges.