29 #ifndef GUM_MULTI_DIM_NOISY_AND_H 30 #define GUM_MULTI_DIM_NOISY_AND_H 54 template <
typename GUM_SCALAR >
67 GUM_SCALAR default_weight = (GUM_SCALAR)1.0);
128 virtual const std::string&
name()
const;
134 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS 139 template <
typename GUM_SCALAR >
virtual const std::string & name() const
Returns the real name of the multiDimArray.
MultiDimNoisyAND(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
Abstract base class for all multi dimensionnal containers.
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
std::ostream & operator<<(std::ostream &output, const BayesNet< GUM_SCALAR > &bn)
Prints map's DAG in output using the Graphviz-dot format.
abstract class for Conditional Indepency Models
const std::string toString() const
Returns the real name of the multiDimArray.
virtual ~MultiDimNoisyAND()
Destructor.
Set of pairs of elements with fast search for both elements.
Noisy AND representation.
virtual MultiDimContainer< GUM_SCALAR > * newFactory() const
This method creates a clone of this object, withouth its content (including variable), you must use this method if you want to ensure that the generated object has the same type than the object containing the called newFactory()
Class for assigning/browsing values to tuples of discrete variables.