bdeuPrior.cpp

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#include <agrum/BN/learning/priors/bdeuPrior.h>
 
#ifndef DOXYGEN_SHOULD_SKIP_THIS

#  ifdef GUM_NO_INLINE
#    include <agrum/BN/learning/priors/bdeuPrior_inl.h>
#  endif /* GUM_NO_INLINE */
 
namespace gum::learning {

  void BDeuPrior::addConditioningPseudoCount(const IdCondSet&       idset,
                                             std::vector< double >& counts) {
    // if the conditioning set is empty or the weight is equal to zero,
    // the prior is also empty
    if ((idset.size() == idset.nbLHSIds()) || (this->weight_ == 0.0)
        || (idset.nbLHSIds() == std::size_t(0)))
      return;
 
    // add the weight to the counting vector
    const double weight = this->weight_ / double(counts.size());
    for (auto& count: counts)
      count += weight;
  }
 
}   // namespace gum::learning
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */