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;
}
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)) {}
/*! \brief Constructor */
MetricValues() :
values_(), metricName_("unset"), mcnorm_(multiCriteriaNorm(0)) {
resetValues();}
/*! \brief Constructor */
MetricValues(string mname) :
values_(), metricName_(mname), mcnorm_(multiCriteriaNorm(0)) {
resetValues();}