/** Used for combining weighted predictions. */
public RegressionStatBinaryNomiss normalizedCopy() {
RegressionStatBinaryNomiss copy = (RegressionStatBinaryNomiss) cloneSimple();
copy.m_NbExamples = 0;
copy.m_SumWeight = 1;
calcMean(copy.m_Means);
return copy;
}
/**
* Clone this statistic by taking the given weight into account. This is used for example to get
* the weighted prediction of default rule.
*/
public ClusStatistic copyNormalizedWeighted(double weight) {
// RegressionStat newStat = (RegressionStat) cloneSimple();
RegressionStatBinaryNomiss newStat = (RegressionStatBinaryNomiss) normalizedCopy();
for (int iTarget = 0; iTarget < newStat.getNbAttributes(); iTarget++) {
newStat.m_Means[iTarget] = weight * newStat.m_Means[iTarget];
}
return (ClusStatistic) newStat;
}