48#ifndef GUM_MULTI_DIM_NOISY_OR_NET_H
49#define GUM_MULTI_DIM_NOISY_OR_NET_H
74 template < GUM_Numeric GUM_SCALAR >
84 GUM_SCALAR default_weight = (GUM_SCALAR)1.0);
142 const std::string&
name()
const final;
148#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
153 template < GUM_Numeric GUM_SCALAR >
Set of pairs of elements with fast search for both elements.
Class for assigning/browsing values to tuples of discrete variables.
MultiDimICIModel(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
MultiDimContainer< GUM_SCALAR > * newFactory() const override
This method creates a clone of this object, withouth its content (including variable),...
const std::string & name() const final
Returns the real name of the multiDimArray.
GUM_SCALAR get(const Instantiation &i) const final
Returns the real name of the multiDimArray.
std::string toString() const final
Returns the real name of the multiDimArray.
MultiDimNoisyORNet(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
~MultiDimNoisyORNet() final
Destructor.
Abstract base class for all multi dimensionnal Causal Independency models.
class for NoisyOR-net implementation as multiDim
gum is the global namespace for all aGrUM entities
std::ostream & operator<<(std::ostream &stream, const AVLTree< Val, Cmp > &tree)
display the content of a tree