multiDimNoisyORNet_tpl.h

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#include <agrum/multidim/ICIModels/multiDimNoisyORNet.h>

namespace gum {

  // Default constructor
  template < typename GUM_SCALAR >
  INLINE MultiDimNoisyORNet< GUM_SCALAR >::MultiDimNoisyORNet(
     GUM_SCALAR external_weight, GUM_SCALAR default_weight) :
      MultiDimICIModel< GUM_SCALAR >(external_weight, default_weight) {
    GUM_CONSTRUCTOR(MultiDimNoisyORNet);
  }

  // Default constructor
  template < typename GUM_SCALAR >
  INLINE MultiDimNoisyORNet< GUM_SCALAR >::MultiDimNoisyORNet(
     const MultiDimNoisyORNet< GUM_SCALAR >& from) :
      MultiDimICIModel< GUM_SCALAR >(from) {
    GUM_CONS_CPY(MultiDimNoisyORNet);
  }

  // Copy constructor using a bijection to replace variables from source.
  template < typename GUM_SCALAR >
  INLINE MultiDimNoisyORNet< GUM_SCALAR >::MultiDimNoisyORNet(
     const Bijection< const DiscreteVariable*, const DiscreteVariable* >& bij,
     const MultiDimNoisyORNet< GUM_SCALAR >&                              from) :
      MultiDimICIModel< GUM_SCALAR >(bij, from) {
    GUM_CONSTRUCTOR(MultiDimNoisyORNet);
  }

  // destructor
  template < typename GUM_SCALAR >
  INLINE MultiDimNoisyORNet< GUM_SCALAR >::~MultiDimNoisyORNet() {
    GUM_DESTRUCTOR(MultiDimNoisyORNet);
  }

  template < typename GUM_SCALAR >
  GUM_SCALAR MultiDimNoisyORNet< GUM_SCALAR >::get(const Instantiation& i) const {
    if (this->nbrDim() < 1) {
      GUM_ERROR(OperationNotAllowed, "Not enough variable for a NoisyOr ");
    }

    const DiscreteVariable& C = this->variable((Idx)0);

    if (i.val(C) > 1) return (GUM_SCALAR)0.0;

    GUM_SCALAR ratio = (GUM_SCALAR)1.0 - this->externalWeight();

    GUM_SCALAR fact = (GUM_SCALAR)ratio;

    if (fact != (GUM_SCALAR)0) {
      for (Idx j = 1; j < this->nbrDim(); j++) {
        const DiscreteVariable& v = this->variable(j);

        if (i.val(v) == 1) {
          GUM_SCALAR pr = (1 - this->causalWeight(v));

          if (pr == (GUM_SCALAR)0.0) {
            fact = (GUM_SCALAR)0.0;
            break;
          } else {
            fact *= pr;
          }
        }
      }
    }

    return (i.val(C) != 1) ? fact : (GUM_SCALAR)1.0 - fact;
  }

  template < typename GUM_SCALAR >
  const std::string MultiDimNoisyORNet< GUM_SCALAR >::toString() const {
    std::stringstream s;
    s << MultiDimImplementation< GUM_SCALAR >::variable(0) << "=noisyORNet(["
      << this->externalWeight() << "],";

    for (Idx i = 1; i < MultiDimImplementation< GUM_SCALAR >::nbrDim(); i++) {
      s << MultiDimImplementation< GUM_SCALAR >::variable(i) << "["
        << this->causalWeight(MultiDimImplementation< GUM_SCALAR >::variable(i))
        << "]";
    }

    s << ")";

    std::string res;
    s >> res;
    return res;
  }

  // For friendly displaying the content of the variable.
  template < typename GUM_SCALAR >
  INLINE std::ostream& operator<<(std::ostream&                           s,
                                  const MultiDimNoisyORNet< GUM_SCALAR >& ag) {
    return s << ag.toString();
  }

  template < typename GUM_SCALAR >
  INLINE MultiDimContainer< GUM_SCALAR >*
         MultiDimNoisyORNet< GUM_SCALAR >::newFactory() const {
    return new MultiDimNoisyORNet< GUM_SCALAR >(this->__external_weight,
                                                this->__default_weight);
  }

  // returns the name of the implementation
  template < typename GUM_SCALAR >
  INLINE const std::string& MultiDimNoisyORNet< GUM_SCALAR >::name() const {
    static const std::string str = "MultiDimNoisyORNet";
    return str;
  }

} /* namespace gum */