GTestPolicy_tpl.h

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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
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#pragma once
 

// =========================================================================
#include <agrum/FMDP/learning/core/testPolicy/GTestPolicy.h>
 
#include <agrum/base/core/math/math_utils.h>
 
// =========================================================================
 
 
namespace gum {
 
 
  // ##########################################################################
  //
  // ##########################################################################
 
  // ==========================================================================
  //
  // ==========================================================================
  template < typename GUM_SCALAR >
  void GTestPolicy< GUM_SCALAR >::addObservation(Idx iattr, GUM_SCALAR ivalue) {
    ITestPolicy< GUM_SCALAR >::addObservation(iattr, ivalue);
    _conTab_.add(iattr, ivalue);
  }
 
  // ############################################################################
  // @name Test result
  // ############################################################################
 
  // ============================================================================
  // Computes the GStat of current variable according to the test
  // ============================================================================
  template < typename GUM_SCALAR >
  void GTestPolicy< GUM_SCALAR >::computeScore() const {
    ITestPolicy< GUM_SCALAR >::computeScore();
    _GStat_ = 0;
 
    // Itération sur l'axe 1 du tableau
    for (auto attrIter = _conTab_.attrABeginSafe(); attrIter != _conTab_.attrAEndSafe();
         ++attrIter) {
      // Mise en cache de valeur utile
      double semiExpected = (double)(attrIter.val()) / (double)this->nbObservation();
 
      // Itération sur l'axe 2 du tableau
      for (auto valIter = _conTab_.attrBBeginSafe(); valIter != _conTab_.attrBEndSafe();
           ++valIter) {
        // Récupération de la valeur en cellule
        Idx cell = _conTab_.joint(attrIter.key(), valIter.key());
        if (cell < 5) continue;
 
        // Récupération de la valeur en axe 2
        double expected = semiExpected * (double)valIter.val();
 
        _GStat_ += 2 * cell * log(cell / expected);
      }
    }
  }
 
  // ============================================================================
  // Returns the performance of current variable according to the test
  // ============================================================================
  template < typename GUM_SCALAR >
  double GTestPolicy< GUM_SCALAR >::score() const {
    if (this->isModified_()) computeScore();
    //      std::cout << this->toString() << std::endl;
    double score
        = 1
        - ChiSquare::probaChi2(_GStat_, (_conTab_.attrASize() - 1) * (_conTab_.attrBSize() - 1));
    return score;
  }
 
  // ============================================================================
  // Returns a second criterion to severe ties
  // ============================================================================
  template < typename GUM_SCALAR >
  double GTestPolicy< GUM_SCALAR >::secondaryscore() const {
    if (this->isModified_()) computeScore();
    return _GStat_;
  }
 
  template < typename GUM_SCALAR >
  void GTestPolicy< GUM_SCALAR >::add(const GTestPolicy< GUM_SCALAR >& src) {
    ITestPolicy< GUM_SCALAR >::add(src);
    _conTab_ += src.ct();
  }
 
}   // End of namespace gum