scoreLog2Likelihood_inl.h

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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
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#pragma once
 

 
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
#  include <sstream>
 
#  include <agrum/BN/learning/scores_and_tests/scoreLog2Likelihood.h>
 
namespace gum {
 
  namespace learning {

    INLINE ScoreLog2Likelihood::ScoreLog2Likelihood(
        const DBRowGeneratorParser&                                 parser,
        const Prior&                                                prior,
        const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
        const Bijection< NodeId, std::size_t >&                     nodeId2columns) :
        Score(parser, prior, ranges, nodeId2columns),
        _internal_prior_(parser.database(), nodeId2columns) {
      GUM_CONSTRUCTOR(ScoreLog2Likelihood);
    }

    INLINE ScoreLog2Likelihood::ScoreLog2Likelihood(
        const DBRowGeneratorParser&             parser,
        const Prior&                            prior,
        const Bijection< NodeId, std::size_t >& nodeId2columns) :
        Score(parser, prior, nodeId2columns), _internal_prior_(parser.database(), nodeId2columns) {
      GUM_CONSTRUCTOR(ScoreLog2Likelihood);
    }

    INLINE ScoreLog2Likelihood::ScoreLog2Likelihood(const ScoreLog2Likelihood& from) :
        Score(from), _internal_prior_(from._internal_prior_) {
      GUM_CONS_CPY(ScoreLog2Likelihood);
    }

    INLINE ScoreLog2Likelihood::ScoreLog2Likelihood(ScoreLog2Likelihood&& from) :
        Score(std::move(from)), _internal_prior_(std::move(from._internal_prior_)) {
      GUM_CONS_MOV(ScoreLog2Likelihood);
    }

    INLINE ScoreLog2Likelihood* ScoreLog2Likelihood::clone() const {
      return new ScoreLog2Likelihood(*this);
    }

    INLINE ScoreLog2Likelihood::~ScoreLog2Likelihood() { GUM_DESTRUCTOR(ScoreLog2Likelihood); }

    INLINE std::string ScoreLog2Likelihood::isPriorCompatible(const Prior& prior) {
      return isPriorCompatible(prior.getType(), prior.weight());
    }

    INLINE std::string ScoreLog2Likelihood::isPriorCompatible() const {
      return isPriorCompatible(*(this->prior_));
    }

    INLINE const Prior& ScoreLog2Likelihood::internalPrior() const { return _internal_prior_; }

    INLINE double ScoreLog2Likelihood::score(const IdCondSet& idset) { return score_(idset); }
 
 
  } /* namespace learning */
 
} /* namespace gum */
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */