leastSquareTestPolicy_tpl.h

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

// =========================================================================
#include <agrum/FMDP/learning/core/testPolicy/leastSquareTestPolicy.h>
 
// =========================================================================
 
 
namespace gum {
 
  template < typename GUM_SCALAR >
  LeastSquareTestPolicy< GUM_SCALAR >::~LeastSquareTestPolicy() {
    for (auto obsIter = this->_obsTable_.cbeginSafe(); _obsTable_.cendSafe() != obsIter; ++obsIter)
      delete obsIter.val();
 
    GUM_DESTRUCTOR(LeastSquareTestPolicy);
  }
 
  // ##########################################################################
  //
  // ##########################################################################
 
  // ==========================================================================
  //
  // ==========================================================================
  template < typename GUM_SCALAR >
  void LeastSquareTestPolicy< GUM_SCALAR >::addObservation(Idx attr, GUM_SCALAR value) {
    ITestPolicy< GUM_SCALAR >::addObservation(attr, value);
    _sumO_ += value;
 
    if (_sumAttrTable_.exists(attr)) _sumAttrTable_[attr] += value;
    else _sumAttrTable_.insert(attr, value);
 
    if (_nbObsTable_.exists(attr)) _nbObsTable_[attr]++;
    else _nbObsTable_.insert(attr, 1);
 
    if (!_obsTable_.exists(attr)) _obsTable_.insert(attr, new LinkedList< double >());
    _obsTable_[attr]->addLink(value);
  }
 
  // ############################################################################
  // @name Test result
  // ############################################################################
 
  // ============================================================================
  // Computes the GStat of current variable according to the test
  // ============================================================================
  template < typename GUM_SCALAR >
  void LeastSquareTestPolicy< GUM_SCALAR >::computeScore() {
    ITestPolicy< GUM_SCALAR >::computeScore();
    double mean         = _sumO_ / (double)this->nbObservation();
    double errorO       = 0.0;
    double sumErrorAttr = 0.0;
    for (auto attrIter = _sumAttrTable_.cbeginSafe(); attrIter != _sumAttrTable_.cendSafe();
         ++attrIter) {
      Idx    key       = attrIter.key();
      double meanAttr  = _sumAttrTable_[key] / (double)_nbObsTable_[key];
      double errorAttr = 0.0;
 
      const Link< double >* linky = _obsTable_[key]->list();
      while (linky) {
        errorAttr += std::pow(linky->element() - meanAttr, 2);
        errorO += std::pow(linky->element() - mean, 2);
        linky = linky->nextLink();
      }
 
      sumErrorAttr += ((double)_nbObsTable_[key] / (double)this->nbObservation()) * errorAttr;
    }
    _score_ = errorO - sumErrorAttr;
  }
 
  // ============================================================================
  // Returns the performance of current variable according to the test
  // ============================================================================
  template < typename GUM_SCALAR >
  double LeastSquareTestPolicy< GUM_SCALAR >::score() {
    if (this->isModified_()) computeScore();
    return _score_;
  }
 
  // ============================================================================
  // Returns a second criterion to severe ties
  // ============================================================================
  template < typename GUM_SCALAR >
  double LeastSquareTestPolicy< GUM_SCALAR >::secondaryscore() const {
    if (this->isModified_()) computeScore();
    return _score_;
  }
 
  template < typename GUM_SCALAR >
  void LeastSquareTestPolicy< GUM_SCALAR >::add(const LeastSquareTestPolicy& src) {
    ITestPolicy< GUM_SCALAR >::add(src);
 
    for (auto obsIter = src.nbObsTable().cbeginSafe(); obsIter != src.nbObsTable().cendSafe();
         ++obsIter)
      if (_nbObsTable_.exists(obsIter.key())) _nbObsTable_[obsIter.key()] += obsIter.val();
      else _nbObsTable_.insert(obsIter.key(), obsIter.val());
 
    for (auto attrIter = src.sumAttrTable().cbeginSafe(); attrIter != src.sumAttrTable().cendSafe();
         ++attrIter)
      if (_sumAttrTable_.exists(attrIter.key())) _sumAttrTable_[attrIter.key()] += attrIter.val();
      else _sumAttrTable_.insert(attrIter.key(), attrIter.val());
 
    for (auto obsIter = src.obsTable().cbeginSafe(); obsIter != src.obsTable().cendSafe();
         ++obsIter) {
      if (!_obsTable_.exists(obsIter.key()))
        _obsTable_.insert(obsIter.key(), new LinkedList< double >());
      const Link< double >* srcLink = obsIter.val()->list();
      while (srcLink) {
        _obsTable_[obsIter.key()]->addLink(srcLink->element());
        srcLink = srcLink->nextLink();
      }
    }
  }
 
}   // End of namespace gum