void ImbalanceMetrics<scalar_t>::printLine(std::ostream &os) const
{
  std::string label( this->getName() );
  if (mcnorm_ > 0){
    multiCriteriaNorm realNorm = multiCriteriaNorm(mcnorm_ - 1);
    std::ostringstream oss;
    switch (realNorm) {
      case normMinimizeTotalWeight:   // 1-norm = Manhattan norm
        oss << this->getName() << " (1)";
        break;
      case normBalanceTotalMaximum:   // 2-norm = sqrt of sum of squares
        oss << this->getName() << " (2)";
        break;
      case normMinimizeMaximumWeight: // inf-norm = maximum norm
        oss << this->getName() << " (inf)";
        break;
      default:
        oss << this->getName() << " (?)";
        break;
    }

    label = oss.str();
  }

  os << std::setw(20) << label;
  os << std::setw(11) << std::setprecision(4) << this->getMetricValue("global minimum");
  os << std::setw(11) << std::setprecision(4) << this->getMetricValue("global maximum");
  os << std::setw(11) << std::setprecision(4) << this->getMetricValue("global average");

  os << std::setw(2) << " ";
  os << std::setw(10) << std::setprecision(4) << this->getMetricValue("maximum imbalance");

  os << std::endl;
}
示例#2
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  void MetricValues<scalar_t>::printLine(ostream &os) const
{
  string label(metricName_);
  if (mcnorm_ > 0){
    multiCriteriaNorm realNorm = multiCriteriaNorm(mcnorm_ - 1);
    ostringstream oss;
    switch (realNorm){
      case normMinimizeTotalWeight:   // 1-norm = Manhattan norm 
        oss << metricName_ << " (1)";
        break;
      case normBalanceTotalMaximum:   // 2-norm = sqrt of sum of squares
        oss << metricName_ << " (2)";
        break;
      case normMinimizeMaximumWeight: // inf-norm = maximum norm 
        oss << metricName_ << " (inf)";
        break;
      default:
        oss << metricName_ << " (?)";
        break;
    }

    label = oss.str();
  }

  os << setw(20) << label;
  os << setw(12) << setprecision(4) << values_[evalGlobalMin];
  os << setw(12) << setprecision(4) << values_[evalGlobalMax];
  os << setw(12) << setprecision(4) << values_[evalGlobalAvg];
  os << setw(2) << " ";
  os << setw(6) << setprecision(4) << values_[evalMinImbalance];
  os << setw(6) << setprecision(4) << values_[evalMaxImbalance];
  os << setw(6) << setprecision(4) << values_[evalAvgImbalance];
  os << endl;
}
/*! \brief Get the norm.  */
multiCriteriaNorm getNorm() { return multiCriteriaNorm(mcnorm_-1);}
/*! \brief Set or reset the norm.  */
void setNorm(multiCriteriaNorm normVal) { mcnorm_ = multiCriteriaNorm(normVal+1);}
/*! \brief Constructor */
ImbalanceMetrics() : BaseClassMetrics<scalar_t>(static_metricNames_.size()), mcnorm_(multiCriteriaNorm(0)) {}
示例#6
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/*! \brief Constructor */
MetricValues() : 
  values_(), metricName_("unset"), mcnorm_(multiCriteriaNorm(0)) { 
    resetValues();}
示例#7
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/*! \brief Constructor */
MetricValues(string mname) : 
  values_(), metricName_(mname), mcnorm_(multiCriteriaNorm(0)) { 
    resetValues();}