void CalcY(object o)
{
if (InputtedX == null)
{
return;
}
// нормирование "на лету"
double[] intervals = Table.IntervalsBeforeNormalization;
double[] x = InputtedX.ToArray();
for (int i = 0; i < x.Length; i++)
{
x[i] /= intervals[_notExcludedParams[i]];
}
RegressionCalculatedY = Regression.CalcY(x);
RegressionPredictionInterval = Regression.CalcPredictionInterval(x);
ClassificationClass = classificator.Classificate(RegressionCalculatedY);
// назад к нормальным значениям
RegressionCalculatedY *= intervals[DependentParameter];
RegressionPredictionInterval *= intervals[DependentParameter];
ClassificationClass *= intervals[DependentParameter];
OnPropertyChanged("RegressionCalculatedY");
OnPropertyChanged("RegressionPredictionInterval");
OnPropertyChanged("ClassificationClass");
}
