48#ifndef GUM_MULTI_DIM_NOISY_AND_H
49#define GUM_MULTI_DIM_NOISY_AND_H
74 template < GUM_Numeric GUM_SCALAR >
86 MultiDimNoisyAND(GUM_SCALAR external_weight, GUM_SCALAR default_weight = (GUM_SCALAR)1.0);
133 std::string
toString()
const override;
146 const std::string&
name()
const override;
152#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
157 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)
Noisy AND representation.
std::string toString() const override
Returns the real name of the multiDimArray.
GUM_SCALAR get(const Instantiation &i) const override
Returns the real name of the multiDimArray.
~MultiDimNoisyAND() override
Destructor.
const std::string & name() const override
Returns the real name of the multiDimArray.
MultiDimNoisyAND(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
MultiDimContainer< GUM_SCALAR > * newFactory() const override
This method creates a clone of this object, withouth its content (including variable),...
Abstract base class for all multi dimensionnal Causal Independency models.
class for NoisyAND-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